{"id":"W3172622152","doi":"10.1002/wwp2.12052","title":"Gender inequality in urban water governance: Continuity and change in two towns of Nepal","year":2021,"lang":"en","type":"article","venue":"World Water Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Sanitation; Corporate governance; Disadvantage; Gender mainstreaming; Water scarcity; Economic growth; Socioeconomics; Political science; Development economics; Geography; Business; Sociology; Economics; Agriculture; Gender studies; Gender equality","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015245,0.0002499119,0.0003989869,0.001524469,0.007470437,0.00332996,0.001148389,0.0009251843,0.003466895],"category_scores_gemma":[0.002082126,0.0004168488,0.000189199,0.001588416,0.004791214,0.002054603,0.005255929,0.001511416,0.0002014351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003850203,"about_ca_system_score_gemma":0.002538797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05255738,"about_ca_topic_score_gemma":0.1462471,"domain_scores_codex":[0.9987835,0.0005236982,0.00002275839,0.0001346781,0.0001006054,0.0004346968],"domain_scores_gemma":[0.9983466,0.0007901514,0.0002345476,0.0000806198,0.0001727599,0.0003752451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008548874,0.0002683866,0.08838112,0.0001046766,0.0000191332,0.003856974,0.8852564,0.0001219894,0.0008377014,0.005953418,0.0009779227,0.01413683],"study_design_scores_gemma":[0.000004679607,0.00007431187,0.1140185,0.00007540707,0.000009129692,0.0002698989,0.8767837,0.0002366298,0.0001680722,0.0009278582,0.007409137,0.00002267722],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955302,0.00008817485,0.0001005936,0.0005101823,0.000005969074,0.00002011167,0.00004035988,0.000002395065,0.003701987],"genre_scores_gemma":[0.9987968,0.00006414416,0.00008072441,0.00007481682,0.000003075351,0.00003072811,0.00001965547,0.000002011394,0.000927956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05255738,"threshold_uncertainty_score":0.1045029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202275654816496,"score_gpt":0.2587670214520328,"score_spread":0.2367442649038678,"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."}}