{"id":"W2511484140","doi":"10.2166/wh.2016.007","title":"Exploring the relationships between small non-community drinking water system characteristics and water system performance in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Toronto Metropolitan University; University of Guelph","funders":"Ministry of Education, India; Ministry of Earth Sciences; Ontario Ministry of Health and Long-Term Care","keywords":"Environmental science; Water resource management; Environmental planning; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001122049,0.0002595549,0.0003215794,0.0008119467,0.001650741,0.001387628,0.0009423718,0.0002557798,0.001448736],"category_scores_gemma":[0.004067506,0.0002819198,0.0004900472,0.003167793,0.001001148,0.0005369979,0.0007355876,0.0004644436,0.0001198309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0281657,"about_ca_system_score_gemma":0.03334589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946557,"about_ca_topic_score_gemma":0.9978351,"domain_scores_codex":[0.9986494,0.0001602144,0.00008719798,0.0001993117,0.0005238779,0.000380019],"domain_scores_gemma":[0.9939119,0.0007651396,0.001577706,0.0001580896,0.00224712,0.001340007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002786332,0.0000171109,0.9964185,0.00002548097,0.00003099979,0.00003396213,0.0008406827,0.0001901622,0.0001309584,0.00006768658,0.0002744923,0.001942034],"study_design_scores_gemma":[0.000001674677,0.00001857922,0.9978567,0.000009495654,0.000008054325,0.00000962201,0.001326898,0.0002820144,0.00003025669,0.00001430619,0.0004385497,0.000003839344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965144,0.0001819724,0.0001825216,0.0002479873,0.000004522388,0.00003198865,0.001170286,0.000006074962,0.001660223],"genre_scores_gemma":[0.9987184,0.0001151238,0.0001412254,0.00003075061,0.000001839141,0.000009728259,0.0004226611,0.000002377999,0.0005580484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0281657,"threshold_uncertainty_score":0.2043574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07748337098281124,"score_gpt":0.2013838731180782,"score_spread":0.1239005021352669,"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."}}