{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000379508,0.0004848761,0.00103631,0.0002591404,0.00007266919,0.00002675929,0.0002888291,0.0006266866,0.009620469],"category_scores_gemma":[0.0004549717,0.0003131066,0.0003597592,0.0001595402,0.0001465059,0.00005009081,0.0001739025,0.000644742,0.000007979225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005319302,"about_ca_system_score_gemma":0.00101882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007645759,"about_ca_topic_score_gemma":0.00007488361,"domain_scores_codex":[0.997332,0.00003590329,0.000529744,0.0005201019,0.001103159,0.0004791042],"domain_scores_gemma":[0.9977999,0.00006385719,0.000239525,0.001240845,0.0003843792,0.0002715125],"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":[0.000169648,0.0001721306,0.00005515061,0.0002531261,0.0001238569,0.0003872516,0.000004001134,1.366609e-8,0.00001057163,0.00003028979,0.9908357,0.007958275],"study_design_scores_gemma":[0.001263018,0.0004608779,0.0003357,0.000905555,0.0003237274,0.0001718053,0.000005821263,0.000001350982,0.00005326952,0.0001730864,0.9959314,0.0003743399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004109018,0.000641709,0.0003294749,0.003060124,0.0005856348,0.0004961321,0.9941458,0.0003473614,0.0003526477],"genre_scores_gemma":[0.000008673988,0.001369651,0.0004479519,0.00194196,0.001311574,0.00001978974,0.9886974,0.00006307355,0.006139928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009612489,"threshold_uncertainty_score":0.9999321,"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."}}