{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005821393,0.0005438555,0.001163565,0.0005900795,0.0003962887,0.0003257917,0.001914953,0.0004366508,0.03808236],"category_scores_gemma":[0.002511944,0.0003244696,0.0007354963,0.0004588191,0.0003308117,0.0002695717,0.0005814852,0.0007685064,0.00009988707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006858444,"about_ca_system_score_gemma":0.0006391584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001526787,"about_ca_topic_score_gemma":0.000845453,"domain_scores_codex":[0.9890061,0.000749359,0.001413092,0.001224133,0.007076788,0.0005305427],"domain_scores_gemma":[0.9945445,0.001158932,0.001169584,0.002525532,0.0002677726,0.0003336861],"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":[0.00005446673,0.0002010534,0.0004315012,0.000002852405,0.0001616333,0.00004786964,0.000007303217,0.00001469843,0.000002502961,0.000003697259,0.9021258,0.09694663],"study_design_scores_gemma":[0.0006204605,0.0001501302,0.001986863,0.00003930433,0.0002866294,0.000006625532,0.0001133228,0.00005852999,0.000002823258,0.005627811,0.990664,0.0004434771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002218016,0.0005827523,0.002792913,0.001567883,0.0007729203,0.0001917737,0.9936932,0.00002915584,0.0001476404],"genre_scores_gemma":[0.0002314512,0.01227057,0.0002421855,0.0002003042,0.0007693116,0.00001017277,0.9845403,0.00002641918,0.00170933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09650315,"threshold_uncertainty_score":0.9999207,"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."}}