{"id":"W2169996472","doi":"10.1503/cmaj.090956","title":"Private drinking water supplies: challenges for public health","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates","funders":"Alberta Innovates; University of Alberta; Alberta Health Services","keywords":"Sanitation; Environmental health; Water supply; Water infrastructure; Public health; Diarrheal diseases; Developing country; Business; Waterborne diseases; Medicine; Environmental planning; Water resource management; Environmental protection; Diarrhea; Geography; Economic growth; Environmental engineering; Environmental science; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.008578454,0.0007005155,0.001012192,0.001240969,0.005585119,0.009026932,0.003159746,0.01044248,0.03791295],"category_scores_gemma":[0.01467211,0.0004979486,0.0006802263,0.00195853,0.006432952,0.009117112,0.008488705,0.007070923,0.004349131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008366991,"about_ca_system_score_gemma":0.04565825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08084264,"about_ca_topic_score_gemma":0.09262156,"domain_scores_codex":[0.9952443,0.001696056,0.0002363507,0.0003027453,0.001095074,0.001425409],"domain_scores_gemma":[0.9767385,0.005672209,0.001288939,0.0005173236,0.004000407,0.01178268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001737626,0.0005144335,0.01302443,0.00207266,0.00007166074,0.0009167886,0.003351094,0.0006307574,0.0005307332,0.03140922,0.5272893,0.4200151],"study_design_scores_gemma":[0.0001343027,0.0003813381,0.03252706,0.005356666,0.0001043544,0.001161408,0.07266339,0.0010108,0.0002615311,0.0928192,0.7934241,0.0001558445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003891022,0.01629698,0.0005450511,0.9669689,0.001351549,0.00002410384,0.000186667,0.00005421374,0.0106815],"genre_scores_gemma":[0.3938276,0.2439087,0.00678958,0.3125311,0.01626417,0.0003577291,0.001305037,0.0001418289,0.02487433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9191574,"threshold_uncertainty_score":0.1607442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349645342321871,"score_gpt":0.2708002295573639,"score_spread":0.2473037761341452,"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."}}