{"id":"W4249533704","doi":"10.1515/iupac.87.0185","title":"Developmental Neurotoxicity Testing (DNT)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Neurotoxicity; Computer science; Medicine; Chemistry; Linguistics; Data mining; Philosophy","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":[0.002146546,0.001309381,0.00159887,0.004957548,0.0006703748,0.001868418,0.002192447,0.001479622,0.05751907],"category_scores_gemma":[0.0213987,0.0005435577,0.001785498,0.006718113,0.0004482812,0.001605216,0.002124138,0.001754075,0.02516733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997608,"about_ca_system_score_gemma":0.003918836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01658541,"about_ca_topic_score_gemma":0.03431605,"domain_scores_codex":[0.9972761,0.0004346668,0.0009841109,0.0005727417,0.0005732789,0.0001591115],"domain_scores_gemma":[0.985099,0.004004933,0.004198454,0.002368474,0.003791417,0.0005377462],"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":[0.0005987669,0.00006411954,0.01840205,0.00807174,0.0003104369,0.0002088347,0.0000501295,0.0006181392,0.0001836932,0.00161684,0.9401847,0.02969055],"study_design_scores_gemma":[0.000530016,0.00009462413,0.03960431,0.00489351,0.0003320973,0.0007160989,0.0001072133,0.0004002286,0.0007419151,0.003763484,0.9487445,0.00007215312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005070613,0.0005844974,0.0002150722,0.0001181516,0.00003881404,0.00007606112,0.9955793,0.0001795253,0.002701521],"genre_scores_gemma":[0.00347225,0.001102911,0.001090697,0.0003579854,0.00003304166,0.0004484936,0.9911078,0.00007312026,0.002313678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05751907,"threshold_uncertainty_score":0.1924205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08625765990822588,"score_gpt":0.4892674984741633,"score_spread":0.4030098385659374,"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."}}