{"id":"W4231831928","doi":"10.1515/iupac.88.0522","title":"Autopsy","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.00204212,0.001277384,0.001119039,0.003704297,0.0008764087,0.003114274,0.002374619,0.001469582,0.1598512],"category_scores_gemma":[0.01606026,0.0005389908,0.001462279,0.005040606,0.0004289984,0.002601967,0.002210446,0.001612445,0.1473386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504428,"about_ca_system_score_gemma":0.003149368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153016,"about_ca_topic_score_gemma":0.02056705,"domain_scores_codex":[0.9974725,0.0004461557,0.0006129103,0.0007622877,0.0004877524,0.0002184799],"domain_scores_gemma":[0.9933189,0.001753524,0.0008947162,0.001636648,0.002110701,0.0002855068],"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":[0.0001867981,0.0000202731,0.00240961,0.001753036,0.00004890042,0.00006454474,0.00005207881,0.0001558438,0.0001309827,0.001741681,0.9750922,0.01834396],"study_design_scores_gemma":[0.0001015489,0.0000138711,0.003708686,0.001137271,0.00003633374,0.0001348518,0.0001071586,0.000126128,0.0002290676,0.002061064,0.9923223,0.00002182253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003272714,0.0004304817,0.0004166787,0.0002767566,0.0001317507,0.00009352315,0.9907773,0.0004631823,0.007083152],"genre_scores_gemma":[0.001067184,0.0004802807,0.000950145,0.0003827137,0.00004135874,0.000279731,0.9921789,0.0001420146,0.004477672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1598512,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346750051486727,"score_gpt":0.4254809416601056,"score_spread":0.4120134411452384,"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."}}