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": {}
}
],
"elements": [
{
"_inventory_only": true,
"aggregation_method": {
"min_atoms_required": 1,
"missing_handling": "flag_for_review",
"note": "Only one atom, returns its score directly",
"strategy": "single_atom",
"weights_source": "equal"
},
"atom_ids": [
"L05-GEN-MIAHANDOFFVALID",
"L05-GEN-MMC04TIMEAVAIL",
"L05-GEN-MMS09CYCLICALP",
"L05-GEN-MODALITYMAPPIN"
],
"element_id": "E-L05-GEN-MIAHANDOFF",
"element_name": "E-L05-GEN-MIAHANDOFF",
"family_code": "GEN",
"family_name": "GEN",
"output_contract": {
"returns": {
"confidence": "0.0-1.0",
"factor_breakdown": "array of atom scores",
"gen_evidence_score": "0-99 aggregate",
"handoff_ready": "boolean"
}
},
"purpose": "Validate that MIA output package contains all required fields for downstream handoff to L06 assessment agents."
},
{
"_inventory_only": true,
"aggregation_method": {
"min_atoms_required": 1,
"missing_handling": "flag_for_review",
"note": "Only active modalities contribute to mean",
"strategy": "weighted_mean",
"weights": {
"audio_quality": 1.0,
"image_quality": 1.0,
"interactive_quality": 1.0,
"msa_compliance": 1.2,
"objective_coverage": 1.3,
"prompt_alignment": 1.2,
"text_quality": 1.0
},
"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",
"output_contract": {
"returns": {
"confidence": "0.0-1.0",
"factor_breakdown": "array of atom scores",
"gate_status": "PASS/FAIL for GATE atoms (CONTENTACCESS, ATTRIBUTION)",
"mcg_evidence_score": "0-99 aggregate"
}
},
"purpose": "Aggregate evidence on generation quality, curation verification, and objective coverage for MIA content pipeline."
},
{
"_inventory_only": true,
"aggregation_method": {
"min_atoms_required": 1,
"missing_handling": "flag_for_review",
"strategy": "weighted_mean",
"weights": {
"coherence": 1.2,
"image": 0.7,
"modality": 1.1,
"multimedia": 1.2,
"personalization": 0.8,
"pretraining": 0.9,
"redundancy": 1.1,
"segmenting": 1.0,
"signaling": 1.0,
"spatial_contiguity": 1.0,
"temporal_contiguity": 1.0,
"voice": 0.8
},
"weights_source": "explicit"
},
"atom_ids": [
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"L05-MCP-IMAGE",
"L05-MCP-MODALITY",
"L05-MCP-MULTIMEDIA",
"L05-MCP-PERSONALIZATION",
"L05-MCP-PRETRAINING",
"L05-MCP-REDUNDANCY",
"L05-MCP-SEGMENTING",
"L05-MCP-SIGNALING",
"L05-MCP-SPATIALCONTIG",
"L05-MCP-TEMPORALCONTIG",
"L05-MCP-VOICE"
],
"element_id": "E-L05-MCP-MAYER",
"element_name": "E-L05-MCP-MAYER",
"family_code": "MCP",
"family_name": "MCP",
"output_contract": {
"returns": {
"confidence": "0.0-1.0",
"factor_breakdown": "array of 12 principle scores",
"mcp_evidence_score": "0-99 aggregate",
"violations": "array of principle names with score \u003c 50"
}
},
"purpose": "Aggregate evidence on compliance with all 12 Mayer multimedia learning principles for generated and curated content."
},
{
"_inventory_only": true,
"aggregation_method": {
"gates": {
"accessibility": 60,
"factual_accuracy": 70
},
"min_atoms_required": 1,
"missing_handling": "flag_for_review",
"note": "If gates fail, overall is capped at 49 regardless of other scores",
"strategy": "minimum_gate_plus_mean",
"weights_source": "equal"
},
"atom_ids": [
"L05-MQS-ACCESSCOMPLI",
"L05-MQS-COGLOAD",
"L05-MQS-ENGAGESCORE",
"L05-MQS-FACTACCURACY",
"L05-MQS-MAYEROVERALL",
"L05-MQS-SENSORYBALANCE"
],
"element_id": "E-L05-MQS-QUALITY",
"element_name": "E-L05-MQS-QUALITY",
"family_code": "MQS",
"family_name": "MQS",
"output_contract": {
"returns": {
"confidence": "0.0-1.0",
"factor_breakdown": "array of atom scores",
"gate_status": "PASS/FAIL for compliance gates (ACCESSCOMPLI \u003e= 60, FACTACCURACY \u003e= 70)",
"mqs_evidence_score": "0-99 aggregate"
}
},
"purpose": "Aggregate evidence on sensory balance, cognitive load, accessibility, engagement, accuracy, and Mayer overall compliance."
}
],
"metadata": {
"agent": "mia",
"generated_at": "",
"generator": "MIA Operator Inference v3",
"layer": "L05",
"synced_at": "2026-04-11T17:56:32.014272+00:00"
},
"summary": {
"compounds": 1,
"constructs": 1,
"duplicates_resolved": 0,
"total_atoms": 34,
"total_elements": 4,
"validation_passed": true
},
"validation": {
"family_coverage": {
"GEN": [
"CP-MIA"
],
"MCG": [
"CP-MIA"
],
"MCP": [
"CP-MIA"
],
"MQS": [
"CP-MIA"
]
},
"issues": [],
"passed": true
}
}