{"id":"W2029200909","doi":"10.1097/00001648-200611001-00563","title":"Modeling Exposure to Trihalomethanes: A Multidisciplinary Approach Integrating Environmental Occurrence and Toxicokinetic Profile","year":2006,"lang":"en","type":"article","venue":"Epidemiology","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Sante Montreal; Université du Québec à Montréal; Université Laval","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Environmental science; Exposure assessment; Population; Environmental health; Internal dose; Environmental chemistry; Pharmacokinetics; Chemistry; Medicine","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":[0.0006739463,0.000643051,0.0005694743,0.0008339401,0.0003698009,0.001246093,0.0008463645,0.001159964,0.001360572],"category_scores_gemma":[0.0009069571,0.0004575418,0.001586975,0.00069162,0.0002579759,0.0006768093,0.0007902115,0.0005013002,0.0003233218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007242085,"about_ca_system_score_gemma":0.001436194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01443028,"about_ca_topic_score_gemma":0.01116208,"domain_scores_codex":[0.9996476,0.000158285,0.00002222785,0.00008067062,0.00005756797,0.00003358323],"domain_scores_gemma":[0.9996415,0.0001897663,0.00005825465,0.00002764691,0.00006387133,0.00001885028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001841362,0.00005188611,0.003765883,0.00004972641,0.00009504404,0.00006960797,0.00003608009,0.9848151,0.002717839,0.001290562,0.0001303727,0.006959476],"study_design_scores_gemma":[0.000004855306,0.00006045336,0.001578482,0.00001173603,0.00005548412,0.00005026282,0.00004617336,0.9944517,0.000906289,0.001753365,0.001069881,0.00001137474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2084667,0.0006015073,0.7774991,0.0004957064,0.0000359018,0.0002234488,0.001223277,0.0004397461,0.01101453],"genre_scores_gemma":[0.8464038,0.001335648,0.1410517,0.0001072395,0.00006617851,0.000497534,0.001027453,0.0001145375,0.009395848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01443028,"threshold_uncertainty_score":0.0286926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552138600382131,"score_gpt":0.2641276091885477,"score_spread":0.2386062231847264,"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."}}