{"id":"W4308649327","doi":"10.1016/j.wre.2022.100211","title":"Exploring behavioral responses to a residential water tariff reform","year":2022,"lang":"en","type":"article","venue":"Water Resources and Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Agence Nationale de la Recherche","keywords":"Tariff; Consumption (sociology); Economics; Order (exchange); Demographic economics; International economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001234081,0.0001308631,0.0001549463,0.000193143,0.0004261695,0.001455118,0.0003138333,0.00127664,0.005877842],"category_scores_gemma":[0.009216229,0.0001464774,0.0002355031,0.0002353906,0.0005193232,0.0005031938,0.0004471455,0.001254009,0.0004293767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007185795,"about_ca_system_score_gemma":0.0005512286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006604685,"about_ca_topic_score_gemma":0.01009515,"domain_scores_codex":[0.9994172,0.0003448987,0.00001742662,0.00005132121,0.00006849184,0.0001007518],"domain_scores_gemma":[0.9943312,0.003934047,0.0007442123,0.0002026173,0.0003169476,0.0004710254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00982204,0.025257,0.6967248,0.0003715346,0.0006137575,0.001289366,0.03104796,0.04454958,0.08244852,0.04257243,0.006377447,0.05892555],"study_design_scores_gemma":[0.0004980708,0.005343634,0.8051426,0.0000576098,0.0002548524,0.0001712109,0.0634427,0.08937648,0.01078336,0.01513593,0.009628343,0.0001651629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962376,0.000003704052,0.0001649554,0.0002376402,0.000005091805,0.00001610573,0.00003139015,0.000003820155,0.003299593],"genre_scores_gemma":[0.9978688,0.00001113963,0.0001818744,0.0001334747,0.000003949994,0.00002303279,0.00004961838,0.000003156281,0.001724939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006604685,"threshold_uncertainty_score":0.01966339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001123443454844,"score_gpt":0.1966424138286842,"score_spread":0.1566311793941358,"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."}}