{"id":"W2904272848","doi":"10.1016/j.envint.2018.12.006","title":"Arsenic exposure and young adult's mortality risk: A 13-year follow-up study in Matlab, Bangladesh","year":2018,"lang":"en","type":"article","venue":"Environment International","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"Styrelsen för Internationellt Utvecklingssamarbete; World Health Organization; United States Agency for International Development","keywords":"Medicine; Verbal autopsy; Cohort; Cohort study; Arsenic; Prospective cohort study; Environmental health; Public health; Tube well; Young adult; Pediatrics; Cause of death; Demography; Disease; Surgery; Gerontology; Internal medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003312792,0.0001392142,0.0001054664,0.00005326648,0.00009588734,0.00003587783,0.0001832309,0.00005373424,0.006978985],"category_scores_gemma":[0.00005185254,0.0001407689,0.0000370703,0.00006573154,0.0001723068,0.0002638401,0.0002225292,0.0001305592,0.0006808196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002567795,"about_ca_system_score_gemma":0.000004768502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008205934,"about_ca_topic_score_gemma":0.004691361,"domain_scores_codex":[0.9985602,0.00009243043,0.0002786564,0.0003983531,0.0005003866,0.000169908],"domain_scores_gemma":[0.9995745,0.00002427654,0.0001184416,0.0002062361,0.000006848843,0.00006972534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002687904,0.0002086357,0.9920385,7.156654e-7,0.00002572735,0.000006226174,0.002447634,0.00002551392,0.0005073134,0.0001238706,0.0003324639,0.004256484],"study_design_scores_gemma":[0.001673584,0.0001436803,0.9929159,0.000006157639,0.00001743733,0.000004300875,0.00125154,0.001471,0.0001809833,0.0002433072,0.001942167,0.0001499699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899301,0.000005788116,0.0003239843,0.0001771132,0.0004052331,0.000339072,0.00002363742,0.00002308241,0.00877198],"genre_scores_gemma":[0.9961734,0.0000432249,0.0003182695,0.0001027619,0.00009089262,0.00004869391,0.00003183816,0.00001214635,0.00317879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006298165,"threshold_uncertainty_score":0.9939288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009144841439418431,"score_gpt":0.234050093296098,"score_spread":0.2249052518566796,"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."}}