MIA L05

Synced: 2026-04-11T17:56:32
34
Atoms
4
Elements
0
Constructs
0
Compounds
0
Dupes Resolved
Validated
CP-MIA — Multimodal Interaction Agent Master Compound implements K-MIA
Purpose:
Execution Steps:
E-L05-MCP-MAYER — MCP 12 atoms
L05-MCP-COHERENCE — Mayer Coherence Principle Compliance Measures the degree to which generated content excludes extraneous words, graphics, and sounds that do not support the learning objective
L05-MCP-IMAGE — Mayer Image Principle Compliance Measures appropriate use of speaker/instructor images - present when beneficial, absent when distracting
L05-MCP-MODALITY — Mayer Modality Principle Compliance Measures the preference for spoken narration over on-screen text when graphics are present
L05-MCP-MULTIMEDIA — Mayer Multimedia Principle Compliance Measures the integration of visual elements (pictures, diagrams, animations) with textual content
L05-MCP-PERSONALIZATION — Mayer Personalization Principle Compliance Measures the degree to which content uses conversational, first/second person language rather than formal third-person style
L05-MCP-PRETRAINING — Mayer Pre-training Principle Compliance Measures the presence and quality of pre-training content that introduces key concepts before the main lesson
L05-MCP-REDUNDANCY — Mayer Redundancy Principle Compliance Measures absence of redundant on-screen text that duplicates narration when graphics are present
L05-MCP-SEGMENTING — Mayer Segmenting Principle Compliance Measures the degree to which content is broken into manageable, student-paced segments with clear boundaries
L05-MCP-SIGNALING — Mayer Signaling Principle Compliance Measures the presence and effectiveness of cues (headings, arrows, highlights, emphasis) that guide attention to essential information
L05-MCP-SPATIALCONTIG — Mayer Spatial Contiguity Principle Compliance Measures the spatial proximity of related text and graphics elements in generated content
L05-MCP-TEMPORALCONTIG — Mayer Temporal Contiguity Principle Compliance Measures the temporal synchronization of related narration and graphics in generated content
L05-MCP-VOICE — Mayer Voice Principle Compliance Measures the humanness and friendliness of audio narration voice quality
E-L05-MCG-GENERATOR — MCG 12 atoms
L05-MCG-ATTRIBUTION — Content Attribution Compliance Measures compliance with attribution requirements for curated content (CC-BY, creator credit, source linking)
L05-MCG-AUDIOGENQUAL — Audio Content Generation Quality Measures the quality of AI-generated audio content including narration clarity, pacing, pronunciation accuracy, and audio fidelity
L05-MCG-CONTENTACCESS — Curated Content Accessibility Check Verifies that discovered content (YouTube video, OER resource) is still accessible and not removed, made private, or geo-blocked
L05-MCG-GAPIDENTIFY — Objective Gap Identification Measures the degree to which learning objectives NOT covered by curated content have been identified for supplementary generation
L05-MCG-IMAGEGENQUAL — Image Content Generation Quality Measures the quality of AI-generated images including relevance to content, visual clarity, educational value, and accessibility
L05-MCG-INTEGRATEQUAL — Curated-Generated Integration Quality Measures how seamlessly curated content integrates with generated supplements (style consistency, transition quality, coherent narrative)
L05-MCG-INTERACTGENQUAL — Interactive Content Generation Quality Measures the quality of AI-generated interactive elements including quizzes, simulations, drag-drop activities, and clickable diagrams
L05-MCG-MSACOMPLI — MSA Modality Specification Compliance Measures compliance with the modality selections, constraints, and accessibility requirements specified by MSA
L05-MCG-OBJCOVERAGE — Learning Objective Coverage Measures the degree to which generated content covers all specified learning objectives from the LODA output
L05-MCG-OVERLAYQUAL — Accessibility Overlay Quality Measures the quality of accessibility overlays (captions, transcripts, alt-text, audio descriptions) added to curated content
L05-MCG-PROMPTALIGN — Generation Prompt Alignment Measures how well the generated content aligns with the MSA modality specification and generation prompt requirements
L05-MCG-TEXTGENQUAL — Text Content Generation Quality Measures the quality of AI-generated textual content including clarity, accuracy, pedagogical appropriateness, and reading level alignment
E-L05-MQS-QUALITY — MQS 6 atoms
L05-MQS-ACCESSCOMPLI — Accessibility Compliance Score Measures compliance with accessibility standards including alt-text, captions, transcripts, contrast ratios, and screen reader compatibility
L05-MQS-COGLOAD — Cognitive Load Assessment Measures the estimated cognitive load of generated content, balancing intrinsic complexity with extraneous load minimization
L05-MQS-ENGAGESCORE — Engagement Potential Score Measures the predicted engagement potential of generated content based on interactivity, variety, relevance, and interest factors
L05-MQS-FACTACCURACY — Factual Accuracy Score Measures the factual accuracy of generated content through fact-checking against authoritative sources
L05-MQS-MAYEROVERALL — Mayer Principles Overall Compliance Aggregates compliance scores across all 12 Mayer principles to provide an overall multimedia learning quality score
L05-MQS-SENSORYBALANCE — Sensory Channel Balance Score Measures the balance of generated content across sensory channels (visual, auditory, kinesthetic/haptic) to avoid channel overload
E-L05-GEN-MIAHANDOFF — GEN 4 atoms
L05-GEN-MIAHANDOFFVALID — MIA Handoff Validation Validates that MIA output contains all required fields for handoff to L06 assessment agents
L05-GEN-MMC04TIMEAVAIL — MMC04 Time Availability Constraint
L05-GEN-MMS09CYCLICALP — MMS09 Cyclical Progression
L05-GEN-MODALITYMAPPIN — modality_mapping_json_contract
All Checks Passed
4/4
Families w/ Compounds
0
Orphaned Families
34
Total Atoms on Disk
Family Coverage
Family Atoms Used by Compounds Status
GEN 0 CP-MIA COVERED
MCG 0 CP-MIA COVERED
MCP 0 CP-MIA COVERED
MQS 0 CP-MIA COVERED
Element Details
E-L05-GEN-MIAHANDOFF 4 atoms
GEN
E-L05-MCG-GENERATOR 12 atoms
MCG
E-L05-MCP-MAYER 12 atoms
MCP
E-L05-MQS-QUALITY 6 atoms
MQS
{
  "atoms": [
    {
      "_inventory_only": true,
      "atom_id": "L05-GEN-MIAHANDOFFVALID",
      "atom_name": "MIA Handoff Validation",
      "atomic_definition": "Validates that MIA output contains all required fields for handoff to L06 assessment agents",
      "definition": "Validates that MIA output contains all required fields for handoff to L06 assessment agents",
      "family_code": "GEN",
      "family_name": "GEN",
      "internal_id": "L05-GEN-MIAHANDOFFVALID",
      "source_file": "L05-GEN-MIAHANDOFFVALID.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-GEN-MMC04TIMEAVAIL",
      "atom_name": "MMC04 Time Availability Constraint",
      "atomic_definition": "",
      "definition": "",
      "family_code": "GEN",
      "family_name": "GEN",
      "internal_id": "L05-GEN-MMC04TIMEAVAIL",
      "source_file": "L05-GEN-MMC04TIMEAVAIL.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-GEN-MMS09CYCLICALP",
      "atom_name": "MMS09 Cyclical Progression",
      "atomic_definition": "",
      "definition": "",
      "family_code": "GEN",
      "family_name": "GEN",
      "internal_id": "L05-GEN-MMS09CYCLICALP",
      "source_file": "L05-GEN-MMS09CYCLICALP.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-GEN-MODALITYMAPPIN",
      "atom_name": "modality_mapping_json_contract",
      "atomic_definition": "",
      "definition": "",
      "family_code": "GEN",
      "family_name": "GEN",
      "internal_id": "L05-GEN-MODALITYMAPPIN",
      "source_file": "L05-GEN-MODALITYMAPPIN.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-ATTRIBUTION",
      "atom_name": "Content Attribution Compliance",
      "atomic_definition": "Measures compliance with attribution requirements for curated content (CC-BY, creator credit, source linking)",
      "definition": "Measures compliance with attribution requirements for curated content (CC-BY, creator credit, source linking)",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-ATTRIBUTION",
      "source_file": "L05-MCG-ATTRIBUTION.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-AUDIOGENQUAL",
      "atom_name": "Audio Content Generation Quality",
      "atomic_definition": "Measures the quality of AI-generated audio content including narration clarity, pacing, pronunciation accuracy, and audio fidelity",
      "definition": "Measures the quality of AI-generated audio content including narration clarity, pacing, pronunciation accuracy, and audio fidelity",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-AUDIOGENQUAL",
      "source_file": "L05-MCG-AUDIOGENQUAL.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-CONTENTACCESS",
      "atom_name": "Curated Content Accessibility Check",
      "atomic_definition": "Verifies that discovered content (YouTube video, OER resource) is still accessible and not removed, made private, or geo-blocked",
      "definition": "Verifies that discovered content (YouTube video, OER resource) is still accessible and not removed, made private, or geo-blocked",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-CONTENTACCESS",
      "source_file": "L05-MCG-CONTENTACCESS.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-GAPIDENTIFY",
      "atom_name": "Objective Gap Identification",
      "atomic_definition": "Measures the degree to which learning objectives NOT covered by curated content have been identified for supplementary generation",
      "definition": "Measures the degree to which learning objectives NOT covered by curated content have been identified for supplementary generation",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-GAPIDENTIFY",
      "source_file": "L05-MCG-GAPIDENTIFY.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-IMAGEGENQUAL",
      "atom_name": "Image Content Generation Quality",
      "atomic_definition": "Measures the quality of AI-generated images including relevance to content, visual clarity, educational value, and accessibility",
      "definition": "Measures the quality of AI-generated images including relevance to content, visual clarity, educational value, and accessibility",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-IMAGEGENQUAL",
      "source_file": "L05-MCG-IMAGEGENQUAL.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-INTEGRATEQUAL",
      "atom_name": "Curated-Generated Integration Quality",
      "atomic_definition": "Measures how seamlessly curated content integrates with generated supplements (style consistency, transition quality, coherent narrative)",
      "definition": "Measures how seamlessly curated content integrates with generated supplements (style consistency, transition quality, coherent narrative)",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-INTEGRATEQUAL",
      "source_file": "L05-MCG-INTEGRATEQUAL.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-INTERACTGENQUAL",
      "atom_name": "Interactive Content Generation Quality",
      "atomic_definition": "Measures the quality of AI-generated interactive elements including quizzes, simulations, drag-drop activities, and clickable diagrams",
      "definition": "Measures the quality of AI-generated interactive elements including quizzes, simulations, drag-drop activities, and clickable diagrams",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-INTERACTGENQUAL",
      "source_file": "L05-MCG-INTERACTGENQUAL.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-MSACOMPLI",
      "atom_name": "MSA Modality Specification Compliance",
      "atomic_definition": "Measures compliance with the modality selections, constraints, and accessibility requirements specified by MSA",
      "definition": "Measures compliance with the modality selections, constraints, and accessibility requirements specified by MSA",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-MSACOMPLI",
      "source_file": "L05-MCG-MSACOMPLI.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-OBJCOVERAGE",
      "atom_name": "Learning Objective Coverage",
      "atomic_definition": "Measures the degree to which generated content covers all specified learning objectives from the LODA output",
      "definition": "Measures the degree to which generated content covers all specified learning objectives from the LODA output",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-OBJCOVERAGE",
      "source_file": "L05-MCG-OBJCOVERAGE.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-OVERLAYQUAL",
      "atom_name": "Accessibility Overlay Quality",
      "atomic_definition": "Measures the quality of accessibility overlays (captions, transcripts, alt-text, audio descriptions) added to curated content",
      "definition": "Measures the quality of accessibility overlays (captions, transcripts, alt-text, audio descriptions) added to curated content",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-OVERLAYQUAL",
      "source_file": "L05-MCG-OVERLAYQUAL.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-PROMPTALIGN",
      "atom_name": "Generation Prompt Alignment",
      "atomic_definition": "Measures how well the generated content aligns with the MSA modality specification and generation prompt requirements",
      "definition": "Measures how well the generated content aligns with the MSA modality specification and generation prompt requirements",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-PROMPTALIGN",
      "source_file": "L05-MCG-PROMPTALIGN.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCG-TEXTGENQUAL",
      "atom_name": "Text Content Generation Quality",
      "atomic_definition": "Measures the quality of AI-generated textual content including clarity, accuracy, pedagogical appropriateness, and reading level alignment",
      "definition": "Measures the quality of AI-generated textual content including clarity, accuracy, pedagogical appropriateness, and reading level alignment",
      "family_code": "MCG",
      "family_name": "MCG",
      "internal_id": "L05-MCG-TEXTGENQUAL",
      "source_file": "L05-MCG-TEXTGENQUAL.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-COHERENCE",
      "atom_name": "Mayer Coherence Principle Compliance",
      "atomic_definition": "Measures the degree to which generated content excludes extraneous words, graphics, and sounds that do not support the learning objective",
      "definition": "Measures the degree to which generated content excludes extraneous words, graphics, and sounds that do not support the learning objective",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-COHERENCE",
      "source_file": "L05-MCP-COHERENCE.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-IMAGE",
      "atom_name": "Mayer Image Principle Compliance",
      "atomic_definition": "Measures appropriate use of speaker/instructor images - present when beneficial, absent when distracting",
      "definition": "Measures appropriate use of speaker/instructor images - present when beneficial, absent when distracting",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-IMAGE",
      "source_file": "L05-MCP-IMAGE.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-MODALITY",
      "atom_name": "Mayer Modality Principle Compliance",
      "atomic_definition": "Measures the preference for spoken narration over on-screen text when graphics are present",
      "definition": "Measures the preference for spoken narration over on-screen text when graphics are present",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-MODALITY",
      "source_file": "L05-MCP-MODALITY.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-MULTIMEDIA",
      "atom_name": "Mayer Multimedia Principle Compliance",
      "atomic_definition": "Measures the integration of visual elements (pictures, diagrams, animations) with textual content",
      "definition": "Measures the integration of visual elements (pictures, diagrams, animations) with textual content",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-MULTIMEDIA",
      "source_file": "L05-MCP-MULTIMEDIA.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-PERSONALIZATION",
      "atom_name": "Mayer Personalization Principle Compliance",
      "atomic_definition": "Measures the degree to which content uses conversational, first/second person language rather than formal third-person style",
      "definition": "Measures the degree to which content uses conversational, first/second person language rather than formal third-person style",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-PERSONALIZATION",
      "source_file": "L05-MCP-PERSONALIZATION.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-PRETRAINING",
      "atom_name": "Mayer Pre-training Principle Compliance",
      "atomic_definition": "Measures the presence and quality of pre-training content that introduces key concepts before the main lesson",
      "definition": "Measures the presence and quality of pre-training content that introduces key concepts before the main lesson",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-PRETRAINING",
      "source_file": "L05-MCP-PRETRAINING.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-REDUNDANCY",
      "atom_name": "Mayer Redundancy Principle Compliance",
      "atomic_definition": "Measures absence of redundant on-screen text that duplicates narration when graphics are present",
      "definition": "Measures absence of redundant on-screen text that duplicates narration when graphics are present",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-REDUNDANCY",
      "source_file": "L05-MCP-REDUNDANCY.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-SEGMENTING",
      "atom_name": "Mayer Segmenting Principle Compliance",
      "atomic_definition": "Measures the degree to which content is broken into manageable, student-paced segments with clear boundaries",
      "definition": "Measures the degree to which content is broken into manageable, student-paced segments with clear boundaries",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-SEGMENTING",
      "source_file": "L05-MCP-SEGMENTING.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-SIGNALING",
      "atom_name": "Mayer Signaling Principle Compliance",
      "atomic_definition": "Measures the presence and effectiveness of cues (headings, arrows, highlights, emphasis) that guide attention to essential information",
      "definition": "Measures the presence and effectiveness of cues (headings, arrows, highlights, emphasis) that guide attention to essential information",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-SIGNALING",
      "source_file": "L05-MCP-SIGNALING.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-SPATIALCONTIG",
      "atom_name": "Mayer Spatial Contiguity Principle Compliance",
      "atomic_definition": "Measures the spatial proximity of related text and graphics elements in generated content",
      "definition": "Measures the spatial proximity of related text and graphics elements in generated content",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-SPATIALCONTIG",
      "source_file": "L05-MCP-SPATIALCONTIG.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-TEMPORALCONTIG",
      "atom_name": "Mayer Temporal Contiguity Principle Compliance",
      "atomic_definition": "Measures the temporal synchronization of related narration and graphics in generated content",
      "definition": "Measures the temporal synchronization of related narration and graphics in generated content",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-TEMPORALCONTIG",
      "source_file": "L05-MCP-TEMPORALCONTIG.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MCP-VOICE",
      "atom_name": "Mayer Voice Principle Compliance",
      "atomic_definition": "Measures the humanness and friendliness of audio narration voice quality",
      "definition": "Measures the humanness and friendliness of audio narration voice quality",
      "family_code": "MCP",
      "family_name": "MCP",
      "internal_id": "L05-MCP-VOICE",
      "source_file": "L05-MCP-VOICE.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MQS-ACCESSCOMPLI",
      "atom_name": "Accessibility Compliance Score",
      "atomic_definition": "Measures compliance with accessibility standards including alt-text, captions, transcripts, contrast ratios, and screen reader compatibility",
      "definition": "Measures compliance with accessibility standards including alt-text, captions, transcripts, contrast ratios, and screen reader compatibility",
      "family_code": "MQS",
      "family_name": "MQS",
      "internal_id": "L05-MQS-ACCESSCOMPLI",
      "source_file": "L05-MQS-ACCESSCOMPLI.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MQS-COGLOAD",
      "atom_name": "Cognitive Load Assessment",
      "atomic_definition": "Measures the estimated cognitive load of generated content, balancing intrinsic complexity with extraneous load minimization",
      "definition": "Measures the estimated cognitive load of generated content, balancing intrinsic complexity with extraneous load minimization",
      "family_code": "MQS",
      "family_name": "MQS",
      "internal_id": "L05-MQS-COGLOAD",
      "source_file": "L05-MQS-COGLOAD.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MQS-ENGAGESCORE",
      "atom_name": "Engagement Potential Score",
      "atomic_definition": "Measures the predicted engagement potential of generated content based on interactivity, variety, relevance, and interest factors",
      "definition": "Measures the predicted engagement potential of generated content based on interactivity, variety, relevance, and interest factors",
      "family_code": "MQS",
      "family_name": "MQS",
      "internal_id": "L05-MQS-ENGAGESCORE",
      "source_file": "L05-MQS-ENGAGESCORE.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MQS-FACTACCURACY",
      "atom_name": "Factual Accuracy Score",
      "atomic_definition": "Measures the factual accuracy of generated content through fact-checking against authoritative sources",
      "definition": "Measures the factual accuracy of generated content through fact-checking against authoritative sources",
      "family_code": "MQS",
      "family_name": "MQS",
      "internal_id": "L05-MQS-FACTACCURACY",
      "source_file": "L05-MQS-FACTACCURACY.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MQS-MAYEROVERALL",
      "atom_name": "Mayer Principles Overall Compliance",
      "atomic_definition": "Aggregates compliance scores across all 12 Mayer principles to provide an overall multimedia learning quality score",
      "definition": "Aggregates compliance scores across all 12 Mayer principles to provide an overall multimedia learning quality score",
      "family_code": "MQS",
      "family_name": "MQS",
      "internal_id": "L05-MQS-MAYEROVERALL",
      "source_file": "L05-MQS-MAYEROVERALL.json",
      "weight_estimation": {}
    },
    {
      "_inventory_only": true,
      "atom_id": "L05-MQS-SENSORYBALANCE",
      "atom_name": "Sensory Channel Balance Score",
      "atomic_definition": "Measures the balance of generated content across sensory channels (visual, auditory, kinesthetic/haptic) to avoid channel overload",
      "definition": "Measures the balance of generated content across sensory channels (visual, auditory, kinesthetic/haptic) to avoid channel overload",
      "family_code": "MQS",
      "family_name": "MQS",
      "internal_id": "L05-MQS-SENSORYBALANCE",
      "source_file": "L05-MQS-SENSORYBALANCE.json",
      "weight_estimation": {}
    }
  ],
  "compounds": [
    {
      "_inventory_only": true,
      "calls_elements": [
        "E-L05-MCP-MAYER",
        "E-L05-MCG-GENERATOR",
        "E-L05-MQS-QUALITY",
        "E-L05-GEN-MIAHANDOFF"
      ],
      "compound_id": "CP-MIA",
      "compound_name": "Multimodal Interaction Agent Master Compound",
      "definition": "",
      "execution_steps": [],
      "implements_construct": "K-MIA",
      "inputs": {},
      "key_atoms": [],
      "outputs": {},
      "purpose": ""
    }
  ],
  "constructs": [
    {
      "_inventory_only": true,
      "compounds_managed": [],
      "construct_id": "K-MIA",
      "construct_name": "Multimodal Interaction Agent Master Construct",
      "definition": "",
      "purpose": "",
      "validation_rules": {}
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  ],
  "elements": [
    {
      "_inventory_only": true,
      "aggregation_method": {
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        "missing_handling": "flag_for_review",
        "note": "Only one atom, returns its score directly",
        "strategy": "single_atom",
        "weights_source": "equal"
      },
      "atom_ids": [
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        "L05-GEN-MMC04TIMEAVAIL",
        "L05-GEN-MMS09CYCLICALP",
        "L05-GEN-MODALITYMAPPIN"
      ],
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      "element_name": "E-L05-GEN-MIAHANDOFF",
      "family_code": "GEN",
      "family_name": "GEN",
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        "returns": {
          "confidence": "0.0-1.0",
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          "gen_evidence_score": "0-99 aggregate",
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      },
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    },
    {
      "_inventory_only": true,
      "aggregation_method": {
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        "note": "Only active modalities contribute to mean",
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          "interactive_quality": 1.0,
          "msa_compliance": 1.2,
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          "prompt_alignment": 1.2,
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        },
        "weights_source": "explicit"
      },
      "atom_ids": [
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        "L05-MCG-AUDIOGENQUAL",
        "L05-MCG-CONTENTACCESS",
        "L05-MCG-GAPIDENTIFY",
        "L05-MCG-IMAGEGENQUAL",
        "L05-MCG-INTEGRATEQUAL",
        "L05-MCG-INTERACTGENQUAL",
        "L05-MCG-MSACOMPLI",
        "L05-MCG-OBJCOVERAGE",
        "L05-MCG-OVERLAYQUAL",
        "L05-MCG-PROMPTALIGN",
        "L05-MCG-TEXTGENQUAL"
      ],
      "element_id": "E-L05-MCG-GENERATOR",
      "element_name": "E-L05-MCG-GENERATOR",
      "family_code": "MCG",
      "family_name": "MCG",
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          "factor_breakdown": "array of atom scores",
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      },
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        "L05-MCP-SIGNALING",
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      "element_name": "E-L05-MCP-MAYER",
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      "family_name": "MCP",
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          "violations": "array of principle names with score \u003c 50"
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      },
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    },
    {
      "_inventory_only": true,
      "aggregation_method": {
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          "factual_accuracy": 70
        },
        "min_atoms_required": 1,
        "missing_handling": "flag_for_review",
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        "weights_source": "equal"
      },
      "atom_ids": [
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        "L05-MQS-ENGAGESCORE",
        "L05-MQS-FACTACCURACY",
        "L05-MQS-MAYEROVERALL",
        "L05-MQS-SENSORYBALANCE"
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      "element_name": "E-L05-MQS-QUALITY",
      "family_code": "MQS",
      "family_name": "MQS",
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      },
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    "agent": "mia",
    "generated_at": "",
    "generator": "MIA Operator Inference v3",
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    "synced_at": "2026-04-11T17:56:32.014272+00:00"
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    "constructs": 1,
    "duplicates_resolved": 0,
    "total_atoms": 34,
    "total_elements": 4,
    "validation_passed": true
  },
  "validation": {
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        "CP-MIA"
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      "MCG": [
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      ],
      "MCP": [
        "CP-MIA"
      ],
      "MQS": [
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    },
    "issues": [],
    "passed": true
  }
}