{"id":"W4251550696","doi":"10.1515/iupac.81.0440","title":"Hazard Evaluation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Hazard; Hazard analysis; Computer science; Environmental science; Ecology; Biology; Engineering; 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":[0.002295053,0.001703704,0.00104072,0.005455079,0.0008088624,0.00248478,0.002542492,0.001530715,0.1334848],"category_scores_gemma":[0.01380004,0.0004405796,0.002334957,0.00451401,0.0003239108,0.002293813,0.001992853,0.001572726,0.07955881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002457717,"about_ca_system_score_gemma":0.003392094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804222,"about_ca_topic_score_gemma":0.03780929,"domain_scores_codex":[0.997721,0.000433001,0.0003854237,0.0005377841,0.0007064393,0.0002162557],"domain_scores_gemma":[0.9938316,0.002128589,0.0005961107,0.001248792,0.001902278,0.0002925175],"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":[0.0001642622,0.00005300615,0.00450785,0.002804814,0.00009602559,0.00005593036,0.00004005455,0.001484076,0.0001492831,0.002706267,0.9572708,0.03066775],"study_design_scores_gemma":[0.000104067,0.00002476688,0.004091254,0.0007623452,0.00005787171,0.00009013629,0.0001161512,0.001172306,0.0003425935,0.004113056,0.989096,0.00002951544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004535514,0.0003059244,0.0005325445,0.0001922683,0.00005404987,0.00009044884,0.9915691,0.0004895385,0.006312679],"genre_scores_gemma":[0.002192357,0.0003185681,0.001779278,0.0001798265,0.00001870942,0.000210358,0.9910337,0.0001009518,0.004166155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1334848,"threshold_uncertainty_score":0.4465512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08515487847993915,"score_gpt":0.5324447019112926,"score_spread":0.4472898234313534,"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."}}