{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001413853,0.0001590265,0.0001148664,0.0002257728,0.0002870413,0.0004256915,0.00009718451,0.00004072579,0.00005042569],"category_scores_gemma":[9.75021e-7,0.00007777189,0.00003472265,0.00009757173,0.00003025212,0.0002060679,0.0002514042,0.00009733438,0.0000343125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005383374,"about_ca_system_score_gemma":0.000003146753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000422546,"about_ca_topic_score_gemma":0.0002189093,"domain_scores_codex":[0.9991683,0.00001179007,0.0001505957,0.0001748373,0.00008952155,0.000404965],"domain_scores_gemma":[0.9998475,0.0000100528,0.000004685173,0.00008484068,0.00001697031,0.00003589476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003472498,0.0001455501,0.001163997,0.0113851,0.004298806,0.00003406297,0.4053932,0.06634591,0.09938521,0.02615248,0.03566255,0.3496858],"study_design_scores_gemma":[0.000722628,0.00002793809,0.0002451629,0.00004690181,0.0001950463,0.000008021755,0.0002719088,0.1680032,0.08835785,0.002804807,0.7389184,0.0003980762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206275,0.0001662406,0.004457281,0.06533985,0.0008877512,0.001072555,0.00003505903,0.0007519295,0.006661792],"genre_scores_gemma":[0.9936552,0.00001973138,0.000103171,0.0008644851,0.0005613859,0.000072217,0.00008170719,0.00004548927,0.004596629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7032559,"threshold_uncertainty_score":0.4104953,"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."}}