{"id":"W4245572006","doi":"10.1515/iupac.76.0316","title":"Necrosis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Hazard; Relation (database); Toxicology; Computer science; Medicine; Chemistry; Pharmacology; Biology; Data mining; Linguistics; 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":[0.0015005,0.001691806,0.00134007,0.004355741,0.0009273589,0.003532085,0.002412105,0.001828928,0.1706867],"category_scores_gemma":[0.0109771,0.000612587,0.001589199,0.006427396,0.0003755981,0.002705968,0.002224754,0.001688594,0.1968929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658876,"about_ca_system_score_gemma":0.002960767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248684,"about_ca_topic_score_gemma":0.02332295,"domain_scores_codex":[0.9975042,0.0004087703,0.0004383412,0.0008953945,0.0005340851,0.0002193409],"domain_scores_gemma":[0.9959232,0.00118699,0.0004752651,0.0009915796,0.001154821,0.0002681599],"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":[0.00008566389,0.00001882651,0.0009702733,0.001104978,0.00002802444,0.00002516389,0.00002986314,0.0001570248,0.0001304346,0.0009232746,0.9892481,0.007278438],"study_design_scores_gemma":[0.00007575319,0.0000121322,0.001761825,0.0004882677,0.00002132287,0.00005230652,0.00005595302,0.0001456559,0.0001851722,0.001175986,0.9960078,0.00001786748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001046782,0.0001662874,0.0001349452,0.00009273816,0.00004116734,0.00002581888,0.997238,0.0003761455,0.001820199],"genre_scores_gemma":[0.0002717966,0.0001308448,0.0003946155,0.0001361494,0.00001058387,0.0001208575,0.9975181,0.00009655955,0.001320455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1706867,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004593723858015,"score_gpt":0.3475362443333194,"score_spread":0.3374903070947393,"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."}}