{"id":"W4254426041","doi":"10.1515/iupac.81.0720","title":"Predictive Risk Assessment","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); Risk assessment; 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":[0.002527018,0.002813144,0.001453779,0.005801555,0.000792862,0.003337237,0.004412683,0.00275258,0.07390539],"category_scores_gemma":[0.01627086,0.0006192668,0.003237309,0.005533923,0.0004546092,0.002849798,0.002580635,0.002992607,0.07015505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343727,"about_ca_system_score_gemma":0.002852683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210075,"about_ca_topic_score_gemma":0.04339046,"domain_scores_codex":[0.9975582,0.0005203452,0.000330073,0.0007264822,0.0006516736,0.0002131477],"domain_scores_gemma":[0.9944178,0.002451732,0.000445,0.00123196,0.001209012,0.0002444468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001127344,0.00005922593,0.004759348,0.001606161,0.0001494652,0.00007133656,0.00002767537,0.003754701,0.0001076686,0.002553486,0.9660466,0.02075156],"study_design_scores_gemma":[0.0001881706,0.00003317577,0.004256633,0.001046062,0.0001024045,0.0002280545,0.00009229028,0.005883138,0.0004225454,0.00999283,0.9776958,0.0000588904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003616783,0.0005152259,0.0008210954,0.000296174,0.00006073412,0.0000438084,0.9944704,0.0008952967,0.002535628],"genre_scores_gemma":[0.00162248,0.0003658394,0.002310396,0.0001808882,0.00001988228,0.0001182285,0.9939842,0.00009953745,0.001298605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07390539,"threshold_uncertainty_score":0.2472381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007262875113063632,"score_gpt":0.365918290038008,"score_spread":0.3586554149249444,"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."}}