{"id":"W1986976120","doi":"10.1097/00001648-200611001-00138","title":"Consumer Exposure Scenarios in the Health Canada Existing Substances Program","year":2006,"lang":"en","type":"article","venue":"Epidemiology","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Mandate; Context (archaeology); Population; Risk assessment; Environmental health; Exposure assessment; Hazard; Computer science; Risk analysis (engineering); Business; Medicine; Computer security; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004938128,0.0008607276,0.0004154377,0.001062475,0.001814198,0.002001385,0.002418338,0.001576375,0.007347301],"category_scores_gemma":[0.00524005,0.0003760784,0.001008728,0.00142378,0.001047662,0.0005139579,0.001201566,0.001332441,0.0005594778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04221568,"about_ca_system_score_gemma":0.04094031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.923357,"about_ca_topic_score_gemma":0.9248301,"domain_scores_codex":[0.9970294,0.001066478,0.00005926489,0.0002409041,0.001040315,0.0005634695],"domain_scores_gemma":[0.9959701,0.001553083,0.0001531471,0.0001686603,0.001716066,0.0004388428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002632782,0.001631897,0.06832924,0.0008505689,0.0003857977,0.00154817,0.001060199,0.7271078,0.00203822,0.07318412,0.06396888,0.05726229],"study_design_scores_gemma":[0.001640203,0.002387845,0.1187383,0.0003606021,0.0005142521,0.0004556908,0.003023834,0.6692555,0.005426107,0.03024621,0.1676431,0.0003084393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6446255,0.002095768,0.02638631,0.01248876,0.0002243604,0.005541559,0.05532664,0.0008642682,0.2524468],"genre_scores_gemma":[0.9507207,0.000659866,0.01215712,0.00136927,0.00002350209,0.0009333296,0.007925115,0.00003619218,0.02617497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07664299,"threshold_uncertainty_score":0.3062976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04695944888653053,"score_gpt":0.3440527492959454,"score_spread":0.2970933004094149,"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."}}