{"id":"W4246327186","doi":"10.1515/iupac.79.0971","title":"Carcinogenicity Test","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Toxicology; Chemistry; Biology; Philosophy; Linguistics","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":[0.002612377,0.001573854,0.002434438,0.002749397,0.0006518526,0.001961145,0.002696926,0.002151303,0.07177237],"category_scores_gemma":[0.0166654,0.0004882091,0.002941901,0.003403026,0.0003820447,0.001305736,0.001424453,0.002003744,0.0380664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688524,"about_ca_system_score_gemma":0.00311306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091312,"about_ca_topic_score_gemma":0.02081352,"domain_scores_codex":[0.9976047,0.0004515681,0.0005468171,0.0006753964,0.0005554966,0.0001660311],"domain_scores_gemma":[0.9905295,0.003490889,0.001500291,0.001635701,0.002445596,0.0003980888],"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":[0.002186312,0.0002487843,0.02654008,0.0121455,0.001143068,0.0002359863,0.0000622385,0.001952028,0.0007542606,0.001832026,0.9035636,0.04933622],"study_design_scores_gemma":[0.0009595995,0.0002911483,0.02946018,0.002351421,0.0008886227,0.0006382753,0.00008106235,0.0006712552,0.001240624,0.002999685,0.960338,0.00008022469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008502894,0.00116481,0.0003163165,0.0001646517,0.00007094612,0.0001583467,0.9935807,0.0002015924,0.003492289],"genre_scores_gemma":[0.004268512,0.001190336,0.0008754864,0.0005753022,0.00004814053,0.0005208608,0.9889362,0.0000718324,0.003513428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07177237,"threshold_uncertainty_score":0.2401025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289137548091376,"score_gpt":0.384412127157703,"score_spread":0.3715207516767893,"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."}}