{"id":"W2020591771","doi":"10.1080/19338240903390362","title":"Manganese, Arsenic, and Infant Mortality in Bangladesh: An Ecological Analysis","year":2010,"lang":"en","type":"article","venue":"Archives of Environmental & Occupational Health","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Arsenic; Infant mortality; Manganese; Medicine; Environmental health; Incidence (geometry); Mortality rate; Odds ratio; Demography; Population; Surgery; Chemistry; 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":[0.0003142052,0.0001088251,0.0001907299,0.0001119784,0.00009877898,0.000006299323,0.0001132038,0.00004477376,0.002261699],"category_scores_gemma":[0.00001659234,0.0001044904,0.00005871056,0.0001451025,0.0004085362,0.0001853655,0.0001265036,0.0001630863,0.00001445778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000493464,"about_ca_system_score_gemma":0.00001870011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008449886,"about_ca_topic_score_gemma":0.01109148,"domain_scores_codex":[0.9987548,0.0001138193,0.0003506404,0.0003226934,0.0002536435,0.000204417],"domain_scores_gemma":[0.9993693,0.0001213525,0.0001518896,0.0001936131,7.996724e-7,0.0001630394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002264311,0.0003760474,0.9764556,0.000003817078,0.00001551601,0.000001520141,0.0006691034,0.0001611255,0.006363196,0.0006573447,0.000003554265,0.01527055],"study_design_scores_gemma":[0.000306587,0.0001028354,0.9928952,0.000001795252,0.00001660972,0.0000031912,0.0001470223,0.005335365,0.0001370622,0.0007359124,0.0002209049,0.00009754893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99779,0.000009306452,0.0002001057,0.0001630837,0.00002726546,0.000220588,0.0000825955,0.000009543319,0.001497498],"genre_scores_gemma":[0.9965929,0.00004768682,0.002757651,0.0002744815,0.00001230746,0.00001500018,0.0002377276,0.000005263286,0.0000569412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01643959,"threshold_uncertainty_score":0.9986504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124469233902348,"score_gpt":0.2919106474296717,"score_spread":0.2794637240394369,"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."}}