{"id":"W2278628673","doi":"10.1097/paf.0000000000000192","title":"Companion Cases in a Large Urban Medical Examiner's Office","year":2015,"lang":"en","type":"article","venue":"American Journal of Forensic Medicine & Pathology","topic":"Restraint-Related Deaths","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Medical examiner; Natural death; Accidental; Homicide; Manner of death; Medicine; Companion animal; Cause of death; Medical emergency; Demography; Injury prevention; Poison control; Pathology; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007085739,0.0001934473,0.0001869404,0.001275545,0.001323101,0.0004805074,0.000341696,0.0002862252,0.00254883],"category_scores_gemma":[0.003085076,0.0002697858,0.0001699962,0.0007045983,0.0004492424,0.0005227402,0.00124168,0.0003701157,0.0003237348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004756695,"about_ca_system_score_gemma":0.0006195236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003929406,"about_ca_topic_score_gemma":0.01273662,"domain_scores_codex":[0.9993514,0.0001512838,0.00008922913,0.0001208998,0.0001586747,0.0001284965],"domain_scores_gemma":[0.9977764,0.0004215142,0.00103028,0.0001822404,0.0002169467,0.0003725707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006161368,0.000111635,0.9829262,0.00002463789,0.00001246094,0.007483307,0.001973393,0.00003819283,0.0006375629,0.0001092203,0.0007558478,0.005865856],"study_design_scores_gemma":[0.0000183878,0.000548031,0.9676157,0.00007161007,0.0000215712,0.01772967,0.009880683,0.0002079958,0.0005440183,0.0001147454,0.003229142,0.00001834593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986563,0.0001103792,0.0001609426,0.00008808294,0.00001182926,0.00003049321,0.00008192634,0.000006592425,0.0008535077],"genre_scores_gemma":[0.9987258,0.0002032283,0.0003071947,0.00013176,0.00002162072,0.00001602046,0.000122908,0.000003393477,0.000467952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003929406,"threshold_uncertainty_score":0.008526742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085490901904284,"score_gpt":0.3201212267699513,"score_spread":0.2892663177509084,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}