{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008259416,0.0005356933,0.0006091287,0.00009244577,0.0003997101,0.00003190486,0.0006824671,0.0008172923,0.1218208],"category_scores_gemma":[0.0002270453,0.0004141514,0.0001870878,0.0001686376,0.0009762259,0.0001902156,0.0009269134,0.001027998,0.000112379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227509,"about_ca_system_score_gemma":0.0001181615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001139519,"about_ca_topic_score_gemma":0.00164803,"domain_scores_codex":[0.9965743,0.0003378784,0.0005027644,0.000930651,0.0009578438,0.000696526],"domain_scores_gemma":[0.9981634,0.0001838719,0.0004667415,0.0008972412,0.00001447598,0.0002742563],"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":[0.0001143876,0.0005507711,0.002657343,0.00001200011,0.0001130595,0.00007080607,0.000007116077,0.00006919811,0.00005910117,0.000001259547,0.9944038,0.001941175],"study_design_scores_gemma":[0.0008801597,0.0008755074,0.00681347,0.0000433695,0.0001749638,0.00002116676,0.00001579029,0.00002196833,0.00005263554,0.0005308223,0.9900984,0.0004717435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001237744,0.00006283944,0.0003181855,0.0003347711,0.0008882159,0.0005280285,0.9945679,0.00006245881,0.001999852],"genre_scores_gemma":[0.0002249294,0.001666598,0.0001932324,0.0006594468,0.000394382,0.00008841075,0.9948277,0.00004087807,0.001904364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1217084,"threshold_uncertainty_score":0.999831,"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."}}