{"id":"W1973903568","doi":"10.1021/es400482g","title":"High-Throughput Models for Exposure-Based Chemical Prioritization in the ExpoCast Project","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":224,"is_retracted":false,"has_abstract":true,"ca_institutions":"ARC Resources (Canada); The Scarborough Hospital; University of Toronto","funders":"","keywords":"Prioritization; Environmental science; Risk assessment; Hazard; Exposure assessment; Biomonitoring; National Health and Nutrition Examination Survey; Risk analysis (engineering); Environmental health; Computer science; Engineering; Business; Environmental chemistry; Biology; Medicine; Chemistry; Population; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004179657,0.0001942919,0.0001691498,0.0001448715,0.0002421483,0.00005873384,0.000967351,0.000117148,0.0001680211],"category_scores_gemma":[0.00008884033,0.0001345284,0.00005145255,0.0008217614,0.001960598,0.0004967402,0.0002829063,0.0002027033,0.0001143153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340975,"about_ca_system_score_gemma":0.00001877602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000234671,"about_ca_topic_score_gemma":0.000009110539,"domain_scores_codex":[0.9980012,0.00002705693,0.000268747,0.0006323549,0.0004447458,0.0006259434],"domain_scores_gemma":[0.9993084,0.00009524536,0.0000909031,0.0004513643,0.000003679838,0.00005041412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001082056,0.0003743933,0.01384162,0.000006811933,0.000001970945,0.000004356639,0.000255428,0.002819104,0.9671972,0.0009198721,0.0006695315,0.01389883],"study_design_scores_gemma":[0.002934815,0.0008969291,0.02028813,0.00005127873,0.00002745053,0.00006742586,0.002348401,0.05563204,0.8783327,0.0343712,0.003969298,0.001080368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994162,0.00003665711,0.002112774,0.001618815,0.00005766251,0.00135621,0.000007515894,0.00007540291,0.0005729517],"genre_scores_gemma":[0.9895862,0.00001127825,0.009308968,0.0003501894,0.00002531698,0.0006523305,0.00001409703,0.00001503188,0.00003655909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08886459,"threshold_uncertainty_score":0.7223904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008969453509657926,"score_gpt":0.2820908055483178,"score_spread":0.2731213520386599,"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."}}