{"id":"W2003185577","doi":"10.1111/j.1539-6924.2005.00649.x","title":"An Interagency Comparison of Screening‐Level Risk Assessment Approaches","year":2005,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; U.S. Environmental Protection Agency","keywords":"Risk assessment; International agency; Exposure assessment; Environmental health; Regulatory agency; Agency (philosophy); Risk analysis (engineering); Statistics; Cancer; Medicine; Computer science; Political science; Mathematics; Sociology; Computer security; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004560187,0.000186747,0.000403142,0.0001853949,0.0001285082,0.00003364852,0.000272435,0.000121423,0.0001149876],"category_scores_gemma":[0.00002262262,0.0001738425,0.0004620154,0.0003899769,0.00005826068,0.000007642163,0.00009856989,0.0001562581,0.000003677919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002416852,"about_ca_system_score_gemma":0.00004029447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005003278,"about_ca_topic_score_gemma":0.002109548,"domain_scores_codex":[0.9984207,0.0002169981,0.0004390682,0.0004499893,0.0002508474,0.0002224344],"domain_scores_gemma":[0.9987121,0.00001435047,0.000370226,0.0006849429,0.0001030184,0.0001153192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004148804,0.0005859703,0.8104366,0.000007299808,0.002323264,4.229663e-7,0.0002525671,0.07548035,0.03399048,0.00004068017,0.0002322245,0.07660862],"study_design_scores_gemma":[0.0005344658,0.0004494563,0.6463503,0.000004401664,0.00304038,0.000001088598,0.001078649,0.2249612,0.1200978,0.00002645782,0.003062166,0.0003936094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.713708,0.0003982228,0.2851907,0.0000323988,0.00001496202,0.00008515457,0.0001916783,0.000007578668,0.000371327],"genre_scores_gemma":[0.9567592,0.0002690968,0.04223024,0.00002258472,0.0001488601,0.00001415608,0.0004269613,0.00001482769,0.0001140674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2430512,"threshold_uncertainty_score":0.7089093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04623298816865665,"score_gpt":0.3401448765239285,"score_spread":0.2939118883552718,"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."}}