{
"lesson_passport_id": "ICIDM-LESSON-001",
"status": "LIVE_DEMONSTRATION_PENDING_HI_REVIEW",
"source_question_passport": "ICIDM-UNASKED-001",
"source_reality_return_passport": "ICIDM-RR-001",
"machine_observation": {
"gap_type": "RELATIONSHIP_SPARSE",
"pathogen": "Cryptococcus",
"technology": "Whole-genome sequencing",
"observed_publications": 0,
"pathogen_population": 100,
"technology_population": 185,
"score": 285.0,
"question": "Why is the Cryptococcus × Whole-genome sequencing relationship sparse in the publication corpus, and is this a true capability gap, a terminology/classification gap, or simply an unrepresented relationship?",
"reality_return": "Review source classifications and institutional history before deciding whether targeted evidence search or a new experiment is warranted.",
"boundary": "Publication sparsity does not imply scientific absence or institutional incapability."
},
"machine_judgement": "CANDIDATE_UNASKED",
"question": "Why is the Cryptococcus × Whole-genome sequencing relationship sparse in the publication corpus, and is this a true capability gap, a terminology/classification gap, or simply an unrepresented relationship?",
"evidence_boundary": "Publication sparsity does not imply scientific absence or institutional incapability.",
"review_protocol": [
"Inspect representative records that created the sparse/dormant signal.",
"Check terminology, taxonomy and metadata consistency across time.",
"Search institutional/public evidence for the relationship outside the current corpus labels.",
"Ask a domain reviewer whether the relationship should scientifically be expected.",
"Assign one adjudication outcome and record supporting evidence."
],
"allowed_outcomes": [
"TRUE_SCIENTIFIC_UNKNOWN",
"CAPABILITY_GAP",
"MEMORY_RETRIEVAL_GAP",
"CLASSIFICATION_GAP",
"APPROPRIATE_SPECIALISATION",
"NO_GAP"
],
"human_review": {
"outcome": "PENDING_REVIEW",
"reviewer_role": "",
"evidence": "",
"confidence": "",
"notes": ""
},
"learning_rule": {
"before": "Sparse publication relationship can generate a candidate gap.",
"after_pending": "Do not change the detection rule until a real adjudication exists.",
"future_update_template": "If outcome is MEMORY_RETRIEVAL_GAP or CLASSIFICATION_GAP, add retrieval/taxonomy checks before future gap promotion. If TRUE_SCIENTIFIC_UNKNOWN survives review, preserve the signal as a useful question-generation pattern."
},
"reality_return": {
"required": true,
"action": "Audit terminology/classification and retrieve representative papers before proposing new experiments.",
"stop_rule": "Do not escalate to a new experiment if the apparent gap disappears after provenance/classification review.",
"completed": false
}
}