{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001231625,0.0001154786,0.0002406017,0.000008434301,0.0001850762,0.000005799247,0.0002114617,0.00005258761,0.0002179937],"category_scores_gemma":[0.0001222448,0.00007881849,0.00003056194,0.0001266935,0.0002460994,0.00006167014,0.0000489009,0.0001918925,0.0000304577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409527,"about_ca_system_score_gemma":0.00004824593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8235875,"about_ca_topic_score_gemma":0.9404098,"domain_scores_codex":[0.9980492,0.0006954342,0.0003714944,0.0002238618,0.0001471667,0.0005128504],"domain_scores_gemma":[0.9991081,0.0005263615,0.000154427,0.0001503087,0.000001063057,0.00005979222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003085329,0.00007000218,0.9691346,0.00000228805,0.000002152192,0.000008274885,0.0001906665,0.0003292846,0.00001537652,0.0002625785,0.02024144,0.009740253],"study_design_scores_gemma":[0.0001426488,0.00007404765,0.9545494,0.00000555291,0.000001692307,0.000005689643,0.000483093,0.00008544787,0.000003874063,0.001373317,0.04318631,0.00008888539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981698,0.0006652016,0.00002159021,0.007096669,0.0001332314,0.0003531221,0.000005001717,0.00001844505,0.01000878],"genre_scores_gemma":[0.9924728,0.00004103515,0.001066799,0.006045137,0.00005821531,0.00005387369,0.00001956101,0.000006197723,0.0002363465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168224,"threshold_uncertainty_score":0.3214125,"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."}}