{"id":"W4403469960","doi":"10.1002/wwp2.12229","title":"Water tariffs and social equity: Towards water service connections and pricing instruments for the poor","year":2024,"lang":"en","type":"article","venue":"World Water Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity (law); Business; Social equality; Water pricing; Water industry; Environmental economics; Economics; Environmental science; Water resources; Water supply; Water conservation; Market economy; Ecology; Political science; Environmental engineering","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":[0.00544361,0.0003468709,0.0003649665,0.001469875,0.001145528,0.00421617,0.0006332663,0.00141772,0.005560989],"category_scores_gemma":[0.01271255,0.0002295971,0.0003362869,0.001248681,0.006063991,0.004699342,0.004407807,0.002284033,0.0001206289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003307643,"about_ca_system_score_gemma":0.002464096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005523266,"about_ca_topic_score_gemma":0.005197925,"domain_scores_codex":[0.9972036,0.001906632,0.00005705677,0.0001061022,0.0003860457,0.0003406283],"domain_scores_gemma":[0.9948975,0.0025535,0.001145921,0.0003336446,0.0006662671,0.0004031066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003522838,0.00006261323,0.005034172,0.00003455102,0.000009662559,0.00006347297,0.0004262646,0.01085864,0.0001672587,0.9668345,0.0007546312,0.01571899],"study_design_scores_gemma":[0.00002230653,0.00006572256,0.004274145,0.0001463253,0.00001301193,0.00004103038,0.001397778,0.02958868,0.0003010865,0.956028,0.008100985,0.00002091125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6448599,0.001586707,0.128555,0.04083943,0.0001502269,0.0002659876,0.0001406016,0.00007054316,0.1835316],"genre_scores_gemma":[0.9954361,0.0001909389,0.002563825,0.0002343901,0.00004486901,0.00003257355,0.000005352761,0.000004493168,0.001487316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005560989,"threshold_uncertainty_score":0.02878892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953519607235246,"score_gpt":0.2527992242729765,"score_spread":0.233264028200624,"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."}}