{"id":"W4243896734","doi":"10.1515/iupac.81.0335","title":"Environmental Risk Assessment","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Risk assessment; Relation (database); Computer science; Ecology; Biology; Data mining; 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":[0.001954131,0.00179958,0.001247651,0.005617532,0.0007109315,0.002744594,0.003073809,0.00208007,0.07946151],"category_scores_gemma":[0.01310211,0.0005469295,0.001915502,0.00749687,0.0003680991,0.002370963,0.002365085,0.002505812,0.07579369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002642717,"about_ca_system_score_gemma":0.003138108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02292179,"about_ca_topic_score_gemma":0.04258194,"domain_scores_codex":[0.9978421,0.000423821,0.000381254,0.000503166,0.0006684996,0.0001811168],"domain_scores_gemma":[0.9947594,0.001925035,0.0005933448,0.001032268,0.001418059,0.0002719006],"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":[0.0000449198,0.00002380972,0.001927153,0.001728177,0.00005561782,0.00003415781,0.0000242829,0.001020803,0.00008160093,0.002337993,0.9828452,0.009876187],"study_design_scores_gemma":[0.00005955171,0.000007318844,0.002262928,0.0006861037,0.00002553909,0.00006168285,0.00005559152,0.000588365,0.0001542422,0.003041672,0.9930357,0.00002114339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001139687,0.0001612384,0.0001938965,0.0001317118,0.000021333,0.00001620575,0.9970778,0.0002273392,0.002056465],"genre_scores_gemma":[0.0005633809,0.0002249278,0.0009187597,0.0000997134,0.0000071625,0.00007398186,0.9971485,0.00005309225,0.0009105594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07946151,"threshold_uncertainty_score":0.2658253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966388632825312,"score_gpt":0.4743177806554271,"score_spread":0.444653894327174,"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."}}