{"id":"W4235426446","doi":"10.1515/iupac.81.0781","title":"Risk Analysis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002126655,0.001874781,0.001193842,0.005599018,0.0007196915,0.003061997,0.00286145,0.001983929,0.1059716],"category_scores_gemma":[0.01716541,0.0005278931,0.003005304,0.006336808,0.0003246939,0.002456452,0.00203822,0.002394258,0.07528299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002738398,"about_ca_system_score_gemma":0.003135977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01920444,"about_ca_topic_score_gemma":0.03428027,"domain_scores_codex":[0.9973225,0.0004920982,0.0004829927,0.0007218343,0.0007523156,0.000228231],"domain_scores_gemma":[0.9935155,0.002637378,0.0007274861,0.001254319,0.001606747,0.0002586985],"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":[0.0001121809,0.00004567533,0.004488691,0.001901738,0.0001373254,0.00005430073,0.00003199167,0.002149707,0.00009438199,0.003331879,0.9688615,0.01879071],"study_design_scores_gemma":[0.0001288605,0.00002001912,0.003692781,0.0008326125,0.000063213,0.000136718,0.00008538295,0.001462466,0.0002147516,0.006303704,0.9870236,0.00003577743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002654437,0.000310748,0.0003934981,0.0002366913,0.00003695504,0.00003807623,0.9952623,0.0003961451,0.003060098],"genre_scores_gemma":[0.001471065,0.0003436179,0.001635658,0.0001832495,0.0000174078,0.0001390986,0.9943048,0.00009983181,0.001805263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8940284,"threshold_uncertainty_score":0.3545103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007121249487649227,"score_gpt":0.3478061997203222,"score_spread":0.340684950232673,"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."}}