{"id":"W2003090561","doi":"10.1371/journal.pone.0055014","title":"Increased Childhood Mortality and Arsenic in Drinking Water in Matlab, Bangladesh: A Population-Based Cohort Study","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University of Chicago; Styrelsen för Internationellt Utvecklingssamarbete; World Health Organization; Department for International Development; International Centre for Diarrhoeal Disease Research, Bangladesh; United States Agency for International Development","keywords":"Medicine; Hazard ratio; Confidence interval; Cohort study; Cohort; Population; Cause of death; Demography; Proportional hazards model; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004805784,0.0005192432,0.0004329345,0.0006187856,0.0006667881,0.0006675642,0.0003936228,0.000547952,0.001599019],"category_scores_gemma":[0.0008549731,0.0006498871,0.0005754335,0.001832441,0.0003068785,0.0004508609,0.0005553539,0.0006575803,0.0004265989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009882819,"about_ca_system_score_gemma":0.0006478173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04693343,"about_ca_topic_score_gemma":0.05878211,"domain_scores_codex":[0.9995657,0.00007931094,0.00005926365,0.0001402593,0.00007789391,0.00007758431],"domain_scores_gemma":[0.9994767,0.00003541423,0.0001987831,0.00006436915,0.0001089914,0.0001157801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000861681,0.00003031039,0.9983767,0.00002171916,0.00009181403,0.00009812599,0.0002544236,0.00002782239,0.0002877718,0.00001349231,0.000170882,0.0005406695],"study_design_scores_gemma":[0.00001271144,0.0000640463,0.9988702,0.00001140799,0.00005111688,0.0001766154,0.000326013,0.00005393451,0.00004754876,0.00001414516,0.0003655142,0.000006670857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950846,0.000309819,0.0000839027,0.00006675674,0.000005891636,0.00003668364,0.003942664,0.000004580606,0.0004651487],"genre_scores_gemma":[0.9974926,0.0004310599,0.0001203751,0.00003938067,0.000005573076,0.00004276803,0.001469123,0.00000251077,0.0003966687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04693343,"threshold_uncertainty_score":0.09332049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705229379927324,"score_gpt":0.2144344643593733,"score_spread":0.1973821705601001,"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."}}