{"id":"W4312096898","doi":"10.1002/wat2.1627","title":"Moral economies for water: A framework for analyzing norms of justice, economic behavior, and social enforcement in the contexts of water inequality","year":2022,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Water","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Australian Research Council; Philomathia Foundation; National Science Foundation","keywords":"Moral economy; Normative; Sociology; Economics; Positive economics; Economic system; Environmental ethics; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002260328,0.0001924868,0.000641867,0.00007697927,0.0006796049,0.00004751627,0.0004746692,0.00008504876,0.0004753249],"category_scores_gemma":[0.00001132814,0.00009614421,0.0002912656,0.00003156958,0.000259734,0.0002843647,0.0005617266,0.0001789817,0.000004479164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633041,"about_ca_system_score_gemma":0.00002539575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002202462,"about_ca_topic_score_gemma":0.000405477,"domain_scores_codex":[0.9979559,0.0002571272,0.0009054171,0.0002938101,0.000131388,0.0004563838],"domain_scores_gemma":[0.9993991,0.00008270163,0.0002301356,0.0002192426,0.00003742967,0.0000314323],"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":[0.0009825762,0.0002987132,0.02073333,0.002030322,0.0001479925,0.00000360984,0.9176907,0.0002713221,0.002845404,0.03578632,0.006817987,0.0123917],"study_design_scores_gemma":[0.004543747,0.002575148,0.005291422,0.0007121948,0.001295968,0.0000137834,0.1098785,0.000226088,0.03562691,0.3126664,0.5254846,0.001685279],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941605,0.0004054923,0.0001564332,0.002322651,0.0004760459,0.001962244,0.0002715083,0.000006902484,0.0002382089],"genre_scores_gemma":[0.9976374,0.0002092467,0.0002572067,0.0002053604,0.0002591776,0.001108715,0.0001492825,0.00001512948,0.0001585197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8078123,"threshold_uncertainty_score":0.522704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0461466371440248,"score_gpt":0.3582630810072875,"score_spread":0.3121164438632627,"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."}}