{"id":"W3122440281","doi":"","title":"Do Water Service Provision Contracts with Neighbouring Population Centres Reduce Drinking Water Risk on Canadian Reserves","year":2014,"lang":"en","type":"article","venue":"2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Probit model; Population; Incentive; Water industry; Business; Probit; Water supply; Geography; Economics; Environmental science; Environmental health; Environmental engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001790513,0.0006080065,0.0007347995,0.0005242504,0.0006681186,0.0003514595,0.0005658913,0.0003748093,0.0009332701],"category_scores_gemma":[0.0001493981,0.0004935573,0.000150417,0.0001110633,0.00009092209,0.00109177,0.000171191,0.0004884304,0.007394544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004945791,"about_ca_system_score_gemma":0.00002748174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1356545,"about_ca_topic_score_gemma":0.05647421,"domain_scores_codex":[0.9958181,0.000176441,0.001154567,0.001262392,0.0001940139,0.001394527],"domain_scores_gemma":[0.9977036,0.0001124668,0.0006683222,0.0009214263,0.0001013671,0.0004928135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004457962,0.0003975379,0.8906896,0.0002134932,0.0002677985,0.00001697755,0.01112845,0.01179021,0.001050843,0.006037551,0.07496773,0.002994015],"study_design_scores_gemma":[0.003436983,0.0006378462,0.4296342,0.0004021911,0.0001106715,0.00002503984,0.0008444467,0.004616528,0.01066752,0.003565652,0.5439713,0.002087599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803981,0.0002670208,0.00005577714,0.002595631,0.0008658278,0.0006466976,0.0004193835,0.0000793333,0.01467229],"genre_scores_gemma":[0.9947354,0.0002630233,0.0004709657,0.0007160087,0.0008692064,0.00004991084,0.00084689,0.000141338,0.001907285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4690036,"threshold_uncertainty_score":0.99998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191665904411233,"score_gpt":0.2031969848750114,"score_spread":0.1812803258308991,"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."}}