{"id":"W4417088487","doi":"10.1093/inthealth/ihaf138","title":"Bayesian modeling of <i>Escherichia coli</i> contamination in household drinking water in Bangladesh: evidence from the Multiple Indicator Cluster Survey 2019","year":2025,"lang":"en","type":"article","venue":"International Health","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health; University of Calgary","funders":"Canada Research Chairs; UNICEF","keywords":"Cluster (spacecraft); Fecal coliform; Contamination; Psychological intervention; Population; Feces; Bayesian probability; Waterborne diseases","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01684361,0.0005569509,0.000652983,0.0008455318,0.0004294508,0.001187714,0.001747984,0.0009668017,0.002786887],"category_scores_gemma":[0.04721332,0.0006403115,0.001678969,0.001654441,0.0009191416,0.001198627,0.001331655,0.001085739,0.0004733769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607982,"about_ca_system_score_gemma":0.00172016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.124154,"about_ca_topic_score_gemma":0.05575304,"domain_scores_codex":[0.9897328,0.008329443,0.0003160771,0.000708294,0.00053037,0.0003830268],"domain_scores_gemma":[0.95625,0.03324558,0.00595281,0.00199094,0.002053026,0.0005076991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007121863,0.0002578227,0.8806695,0.000451399,0.001654401,0.0002395581,0.001626487,0.06553064,0.0002248546,0.009293769,0.002575913,0.03676345],"study_design_scores_gemma":[0.0001165248,0.0006791471,0.6231572,0.0006230587,0.0009508569,0.0002450941,0.002374203,0.3462329,0.0003153593,0.01966344,0.005501876,0.0001403476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501616,0.001676477,0.03851493,0.002400923,0.00003428723,0.0002260132,0.003832292,0.00009486447,0.003058584],"genre_scores_gemma":[0.9926553,0.0007840814,0.004631303,0.0001206016,0.00001255695,0.00009853811,0.001148882,0.00001600477,0.0005328426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.124154,"threshold_uncertainty_score":0.2468627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785248095541708,"score_gpt":0.3133738295213473,"score_spread":0.2755213485659302,"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."}}