{"id":"W4249712144","doi":"10.1515/iupac.79.0875","title":"Autopsy","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Forensic toxicology; Toxicology; Computer science; Library science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.001797198,0.001638117,0.00146467,0.003512296,0.0006235467,0.002546925,0.002773882,0.001711369,0.08191855],"category_scores_gemma":[0.01495742,0.0005002515,0.002015151,0.00471042,0.0003231739,0.001569931,0.001776762,0.001710441,0.08664086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679319,"about_ca_system_score_gemma":0.003205261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177369,"about_ca_topic_score_gemma":0.02356409,"domain_scores_codex":[0.9981858,0.0003298925,0.0004145837,0.0005756769,0.0003189199,0.0001750892],"domain_scores_gemma":[0.9945148,0.00150427,0.001001055,0.001131128,0.001515306,0.0003335252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003750882,0.00003974074,0.004945511,0.002152074,0.0001384019,0.00007326232,0.00003776216,0.0003532343,0.00008673522,0.001004357,0.976378,0.01441582],"study_design_scores_gemma":[0.0005392964,0.000045162,0.01023808,0.001882543,0.0001847213,0.0003141212,0.0001143799,0.0004404174,0.0003428738,0.002501301,0.9833465,0.00005063069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003142112,0.0002788003,0.0001848539,0.0001167351,0.00004547011,0.00004851702,0.997122,0.0002411589,0.001648225],"genre_scores_gemma":[0.0009583173,0.0002791017,0.0005362176,0.0001833275,0.00003060634,0.0002760843,0.996129,0.00007141655,0.001535729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08191855,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664293437777082,"score_gpt":0.4336312641549146,"score_spread":0.4169883297771438,"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."}}