{"id":"W4241398471","doi":"10.1515/iupac.78.0545","title":"Risk Characterization","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Computer science; Chemical nomenclature; Data science; Management science; Engineering; Chemistry; 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":[0.001702367,0.001687793,0.001335856,0.006875336,0.0006685969,0.002495834,0.002338135,0.001795304,0.08960588],"category_scores_gemma":[0.01499239,0.0005079623,0.0021987,0.007949576,0.0003749702,0.002156652,0.001822504,0.001939109,0.04832219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002456644,"about_ca_system_score_gemma":0.003231309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02183551,"about_ca_topic_score_gemma":0.03523343,"domain_scores_codex":[0.9977149,0.0003394383,0.0006253223,0.0006441617,0.0005082765,0.0001679057],"domain_scores_gemma":[0.9936838,0.002571464,0.0009352157,0.001013224,0.001581427,0.0002149618],"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":[0.0001240516,0.00004049209,0.004299809,0.00343379,0.0001174048,0.00006870747,0.00005168527,0.001244252,0.0001802753,0.002417787,0.9731871,0.01483465],"study_design_scores_gemma":[0.0001253694,0.00002134491,0.005451875,0.001358932,0.0000658115,0.0001343651,0.00009835303,0.000670074,0.0002218069,0.00370378,0.9881091,0.00003924403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001601024,0.0002256681,0.0001862905,0.0000859356,0.00001680743,0.0000350679,0.9978588,0.000135301,0.001295962],"genre_scores_gemma":[0.0009016196,0.0003092532,0.0009008812,0.0001194347,0.00001126598,0.0002212704,0.9965968,0.00005842937,0.0008810355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08960588,"threshold_uncertainty_score":0.2997615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007966883301654144,"score_gpt":0.3250648626114362,"score_spread":0.3170979793097821,"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."}}