{"id":"W2065089194","doi":"10.2166/wh.2014.163","title":"Experience, training and confidence among small, non-community drinking water system operators in Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Guelph","funders":"","keywords":"Outreach; Training (meteorology); Low Confidence; Population; Preference; Operator (biology); Medical education; Environmental health; Medicine; Psychology; Geography; Social psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005095058,0.0001388961,0.0001720041,0.0004951398,0.001905342,0.0008792753,0.0005404758,0.0002395555,0.003085231],"category_scores_gemma":[0.002264329,0.0002077254,0.0001554711,0.0008116938,0.0009646579,0.0004265747,0.0005889564,0.0003631657,0.0001934458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007133415,"about_ca_system_score_gemma":0.01137948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9569091,"about_ca_topic_score_gemma":0.9861106,"domain_scores_codex":[0.9994411,0.00005545321,0.00002596077,0.00004506204,0.0002149742,0.0002175143],"domain_scores_gemma":[0.9976337,0.0002591932,0.0004159031,0.00003049547,0.0006382416,0.00102249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006718132,0.0001411594,0.9638381,0.0000540346,0.00001135977,0.000312349,0.02353899,0.00008153249,0.0006549289,0.00007356152,0.001409359,0.009817323],"study_design_scores_gemma":[0.000003692649,0.00007704532,0.964794,0.00003866611,0.000004567054,0.00006084728,0.03315864,0.0001760825,0.00005538818,0.00001884328,0.00160267,0.000009547197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985394,0.00006115303,0.0000320285,0.0002004101,0.000003355158,0.0000116959,0.00008105008,0.000001378595,0.00106958],"genre_scores_gemma":[0.9985934,0.0001821732,0.00005424609,0.00006870938,0.000002430304,0.000008652672,0.00007083045,0.000001152158,0.001018381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04309088,"threshold_uncertainty_score":0.08668923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04981129195680106,"score_gpt":0.3061837013735824,"score_spread":0.2563724094167814,"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."}}