{"id":"W4280624939","doi":"10.1371/journal.pone.0267386","title":"Differences in levels of E. coli contamination of point of use drinking water in Bangladesh","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"UNICEF","keywords":"Contamination; Environmental health; Environmental science; Waterborne diseases; Toxicology; Water quality; Biology; Medicine; Ecology","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":[0.0004125373,0.0001750453,0.0002451422,0.0006845506,0.0003035861,0.0004966176,0.0001871521,0.0002454771,0.001795862],"category_scores_gemma":[0.002277963,0.0001540749,0.000178332,0.001486712,0.0003325304,0.0003487681,0.0005715265,0.0002469678,0.0002329112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000685427,"about_ca_system_score_gemma":0.000345509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03772791,"about_ca_topic_score_gemma":0.04043102,"domain_scores_codex":[0.9993429,0.000175293,0.00007814937,0.0001328592,0.0001370603,0.0001336716],"domain_scores_gemma":[0.999235,0.0001833356,0.0003395281,0.00004227292,0.0001017437,0.0000982097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007004826,0.00001793086,0.9953058,0.00002328395,0.0000232925,0.00005920376,0.0007439255,0.00005359162,0.0008186349,0.0000959912,0.00004803574,0.002740246],"study_design_scores_gemma":[9.83365e-7,0.0000414222,0.9985672,0.000009603102,0.000005227593,0.0000552468,0.0009742053,0.00007094568,0.00008849252,0.00004284928,0.0001398092,0.000003945238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984884,0.00009137311,0.00008319585,0.00003795165,0.000001068374,0.000005611493,0.000420588,0.000001310722,0.0008704668],"genre_scores_gemma":[0.9996489,0.00007256313,0.00004006475,0.000006054598,4.264862e-7,0.000004289268,0.0001106951,5.024023e-7,0.0001164358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03772791,"threshold_uncertainty_score":0.07501662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07017739220987942,"score_gpt":0.2483488943503817,"score_spread":0.1781715021405023,"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."}}