{"id":"W2892272716","doi":"10.1289/isee.2011.01936","title":"CHLORINATION DISINFECTION BY-PRODUCTS IN CANADIAN DRINKING WATER AND BRAIN CANCER RISK","year":2011,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Public Health Agency of Canada","funders":"","keywords":"Brain cancer; Environmental health; Medicine; Trihalomethane; Water disinfection; Population; Toxicology; Risk assessment; Etiology; Cancer; Water treatment; Internal medicine; Environmental science; Biology; Environmental engineering","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":[0.0003810446,0.000353811,0.0002221936,0.00103879,0.001328939,0.0008184197,0.000684995,0.0003640439,0.002864417],"category_scores_gemma":[0.001263233,0.0002398172,0.0005209456,0.002221556,0.0005029205,0.0001865626,0.0003865034,0.0004172249,0.0001563674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01388738,"about_ca_system_score_gemma":0.01436549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880967,"about_ca_topic_score_gemma":0.9877286,"domain_scores_codex":[0.9994472,0.00003495597,0.00002508739,0.0000940782,0.0002684461,0.0001302034],"domain_scores_gemma":[0.9991435,0.00006187567,0.0002101097,0.00002546602,0.0004317748,0.00012728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001300892,0.00002614009,0.9880081,0.0001183516,0.000110353,0.0001090817,0.0003315071,0.0001905114,0.000646471,0.0001665135,0.001097172,0.009065758],"study_design_scores_gemma":[0.00000650542,0.00002369963,0.9972145,0.00003436844,0.00005947074,0.00008612477,0.0002224966,0.0002209401,0.0002127437,0.00005821094,0.001854214,0.00000665919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982729,0.005570639,0.0003178219,0.0009705227,0.00002354427,0.00005424836,0.004625111,0.0000366822,0.005672472],"genre_scores_gemma":[0.9953679,0.001920963,0.0002932973,0.00008270055,0.00000649929,0.000009843657,0.00117827,0.000006302783,0.00113421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01388738,"threshold_uncertainty_score":0.1007605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029319776519315,"score_gpt":0.2166677175882248,"score_spread":0.1963745198230316,"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."}}