{"id":"W2203596538","doi":"10.1017/s0950268815002083","title":"Estimating the number of cases of acute gastrointestinal illness (AGI) associated with Canadian municipal drinking water systems","year":2015,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Public Health Agency of Canada","funders":"Melbourne Water","keywords":"Tap water; Environmental health; Population; Water treatment; Water quality; Water consumption; Medicine; Water supply; Consumption (sociology); Intervention (counseling); Environmental science; Water resource management; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001345186,0.00009629994,0.0002923967,0.00006725191,0.000177071,0.000008633567,0.00005161513,0.00007090346,0.000009784505],"category_scores_gemma":[0.0007770034,0.00005561573,0.0000307434,0.00008357533,0.0001874223,0.000117738,0.00001979346,0.0001689826,0.000002013101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000633797,"about_ca_system_score_gemma":0.00001652809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1431383,"about_ca_topic_score_gemma":0.01753205,"domain_scores_codex":[0.9986962,0.000557119,0.0003272054,0.0001279793,0.00005385682,0.000237606],"domain_scores_gemma":[0.9989775,0.0004935216,0.0001905032,0.0001064811,0.0001456768,0.00008627011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009465442,0.00002701608,0.9971705,0.00002884349,0.00005377453,0.000005988822,0.0006988866,0.001444813,0.00005414007,0.0001375136,0.0002011691,0.00008269767],"study_design_scores_gemma":[0.002539177,0.001047866,0.9248405,0.001693143,0.0005057312,0.005596342,0.0003972766,0.05661447,0.003090746,0.002851271,0.0004272261,0.0003963064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978651,0.0000282916,0.0003786682,0.0006943399,0.0004077311,0.0001392719,0.000008782707,0.00002309512,0.000454692],"genre_scores_gemma":[0.9994387,0.00000189905,0.0002385067,0.0001497984,0.0000916964,0.000009535202,0.00004490387,0.00000827765,0.00001667851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1256063,"threshold_uncertainty_score":0.9783292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232082901250096,"score_gpt":0.3156334928349245,"score_spread":0.2733126638224236,"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."}}