{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001348169,0.000114686,0.0001847389,0.0001685269,0.00001091884,0.00002749098,0.00006940263,0.00002479088,0.00008926765],"category_scores_gemma":[0.000003983573,0.00008613821,0.00002448612,0.0002029077,0.00001991527,0.0001504263,0.0001216916,0.00009190766,0.000007687746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006256861,"about_ca_system_score_gemma":0.000003109386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002068731,"about_ca_topic_score_gemma":0.005730884,"domain_scores_codex":[0.9991907,0.00003871644,0.0002370652,0.0001459258,0.00009090588,0.0002966338],"domain_scores_gemma":[0.9997848,0.000005170845,0.00001414959,0.0001497644,0.00001302308,0.00003312217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005288229,0.0001427582,0.8845343,0.0007344295,0.00006562726,0.0000961843,0.07910164,0.01529176,0.009310236,0.004054939,0.0005783798,0.006036842],"study_design_scores_gemma":[0.00367414,0.00001757948,0.8018062,0.0001282109,0.00002303049,0.000003208927,0.0001177249,0.02447778,0.1319913,0.001403407,0.03571865,0.0006387517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933246,0.0001231691,0.00004232568,0.0004242352,0.00006357076,0.0001381093,0.000008236752,0.00003591538,0.00583985],"genre_scores_gemma":[0.9984047,0.00004349008,0.0001061184,0.000149647,0.000152877,0.00001760423,0.00003918205,0.00001717728,0.001069162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1226811,"threshold_uncertainty_score":0.3512614,"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."}}