{"id":"W1058168099","doi":"10.1016/j.wre.2015.08.002","title":"Do water service provision contracts with neighbouring communities reduce drinking water risk on Canadian reserves?","year":2015,"lang":"en","type":"article","venue":"Water Resources and Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Probit model; Incentive; Water industry; Probit; Business; Water sector; Service (business); Ordered probit; Water infrastructure; Water supply; Economic growth; Economics; Environmental science; Environmental engineering; Marketing; Econometrics","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":[0.001928732,0.0001889194,0.0003839069,0.0008096633,0.002650583,0.002596827,0.001800053,0.001428901,0.006548683],"category_scores_gemma":[0.0148944,0.0002081836,0.000493881,0.001912675,0.001776854,0.00162242,0.001129848,0.001083662,0.0001972469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03398065,"about_ca_system_score_gemma":0.04412631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829288,"about_ca_topic_score_gemma":0.9936203,"domain_scores_codex":[0.9981674,0.0003179207,0.00004316834,0.0001388326,0.0005277973,0.0008047403],"domain_scores_gemma":[0.9912742,0.001984141,0.001932639,0.0003429771,0.002715498,0.001750504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001024976,0.000455789,0.8046637,0.0001510643,0.0003478204,0.000702504,0.00319694,0.01893406,0.0009723327,0.06901839,0.02282881,0.07770373],"study_design_scores_gemma":[0.0001290528,0.0001449082,0.909409,0.000168927,0.0003565308,0.0001356999,0.0191704,0.02645869,0.0008369103,0.01506875,0.02802867,0.00009252738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561862,0.0006363686,0.0004701201,0.01170361,0.00003883509,0.00004552219,0.0009520081,0.00001536285,0.0299519],"genre_scores_gemma":[0.9963813,0.0002470308,0.0001470813,0.0002335208,0.000009953616,0.000004841594,0.000130058,0.000003010423,0.002843245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03398065,"threshold_uncertainty_score":0.246548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07893017035425584,"score_gpt":0.1961035112919176,"score_spread":0.1171733409376617,"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."}}