{"id":"W4251368827","doi":"10.1515/iupac.81.0643","title":"Normit","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Medical and Health Sciences Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; 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":[0.002638121,0.002017726,0.001622127,0.005274334,0.001580323,0.005265453,0.003712918,0.002553336,0.1412435],"category_scores_gemma":[0.0201416,0.0007858778,0.001695948,0.007673895,0.0006438906,0.003406905,0.003569329,0.002775811,0.2090957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002461744,"about_ca_system_score_gemma":0.004295525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01923441,"about_ca_topic_score_gemma":0.04016058,"domain_scores_codex":[0.9962548,0.0009036025,0.0005763007,0.001086128,0.0008050212,0.0003741469],"domain_scores_gemma":[0.9936963,0.001810392,0.0006640862,0.001630597,0.001690988,0.0005077063],"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":[0.00009466727,0.00002090809,0.0009336835,0.0008389466,0.00002566442,0.00002230653,0.00003484019,0.0002103554,0.00005592687,0.001505972,0.9916231,0.004633614],"study_design_scores_gemma":[0.0001258682,0.00001325311,0.00131337,0.0005158166,0.00001741261,0.00006253556,0.00008374338,0.000327222,0.0001416356,0.002496112,0.9948816,0.00002150967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001275404,0.0001390467,0.0001722289,0.0002159002,0.00005899029,0.00002642656,0.9965239,0.00059308,0.002142768],"genre_scores_gemma":[0.0003128307,0.0001093988,0.0004524719,0.0001584818,0.00001319659,0.0001244206,0.9973797,0.0001438914,0.001305563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1412435,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229733381492801,"score_gpt":0.5264371302444718,"score_spread":0.4841397964295438,"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."}}