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Create purity-assessment.sample.yaml
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purity_assessment:
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id: "purity_assessment_001"
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epicenter_id: "epicenter_001"
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assessed_at: "2026-05-25T00:00:00Z"
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method: "hybrid"
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version: "0.1.0"
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assessor:
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type: "multi_wing_review"
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system_id: "ai-purity-detection-algorithm"
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reviewer_notes: "Automated signals were combined with structural review."
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signals:
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provenance_evidence_score:
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value: 0.85
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basis:
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- "publication_timestamp_available"
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- "platform_metadata_available"
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- "revision_history_partially_available"
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author_declaration_score:
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value: 0.80
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basis:
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- "creator_declared_ai_assistance"
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- "ai_used_for_drafting_and_formatting_support"
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structural_originality_score:
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value: 0.92
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basis:
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- "original_protocol_structure"
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- "unique_layered_concept"
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- "non_generic_taxonomy"
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revision_lineage_score:
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value: 0.70
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basis:
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- "initial_publication_timestamp_available"
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- "limited_revision_history_available"
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citation_transparency_score:
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value: 0.65
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basis:
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- "related_protocols_referenced"
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- "external_dependencies_partially_stated"
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ai_pattern_risk_score:
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value: 0.22
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basis:
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- "some_ai_assisted_rhetorical_patterns_detected"
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- "core_structure_remains_distinctive"
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outputs:
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origin_purity_score:
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value: 0.80
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confidence: 0.74
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interpretation: "likely_human_primary_or_structurally_original"
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ai_generated_ratio:
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value: 0.28
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confidence: 0.66
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interpretation: "ai_assisted_but_not_ai_primary"
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warning_flags:
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- "review_recommended"
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review:
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required: false
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recommended: true
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reason: "AI assistance is likely, but provenance and structural originality are strong."
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downstream_use:
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rag_indexing:
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allowed: true
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notes: "Suitable for RAG reference with provenance metadata."
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training_use:
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allowed: "conditional"
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notes: "Allowed only if creator permission and platform policy permit training use."
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royalty_readiness:
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status: "review_ready"
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notes: "May proceed to reference-weight aggregation after trace verification."
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collapse_monitoring:
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include: true
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notes: "Useful as a natural or hybrid source signal for corpus purity monitoring."

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