{"id":"W2102154862","doi":"10.1139/a07-005","title":"Achieving safe drinking water — risk management based on experience and reality","year":2007,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Waterborne diseases; Environmental planning; Water quality; Business; Outbreak; Water safety; Public health; Environmental health; Water supply; Risk analysis (engineering); Water source; Risk management; Environmental resource management; Quality (philosophy); Environmental science; Water resource management; Environmental engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006401815,0.0001719713,0.0001972938,0.00005939541,0.0002265923,0.00004331756,0.0001211523,0.00003689995,0.0001524562],"category_scores_gemma":[0.000008328083,0.0001239596,0.00007824521,0.00003789411,0.0000732711,0.0001189351,0.00007888244,0.0001459115,0.0001530027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199019,"about_ca_system_score_gemma":2.053703e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009975754,"about_ca_topic_score_gemma":0.000003697639,"domain_scores_codex":[0.9986876,0.000123909,0.000348483,0.0003561804,0.0002043625,0.0002794513],"domain_scores_gemma":[0.9994799,0.0000318389,0.00008036215,0.0003106848,3.138974e-7,0.00009688614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000401346,0.0005487894,0.3239218,0.0001775782,0.00001421336,0.00004109906,0.00217157,0.00001212407,0.005566066,0.00001840475,0.001005452,0.6661215],"study_design_scores_gemma":[0.0007282832,0.00007873646,0.2741781,0.0002426042,0.00003378179,0.00000454564,0.00007537343,0.0000672006,0.02193948,0.00006702707,0.7023377,0.0002471098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881502,0.001490234,0.001611095,0.0005961045,0.0002802181,0.0008444807,0.000003755541,0.00004052358,0.006983335],"genre_scores_gemma":[0.9939907,0.002481014,0.001393813,0.001884475,0.00008433018,0.00002368707,0.0000291913,0.00001715882,0.00009560877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7013323,"threshold_uncertainty_score":0.5054927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920434213082394,"score_gpt":0.2803615337076103,"score_spread":0.2611571915767864,"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."}}