{"id":"W3213452879","doi":"10.1002/wwp2.12063","title":"Urban water security under a changing climate: Is Nepal's water policy on the right track?","year":2021,"lang":"en","type":"article","venue":"World Water Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; International Development Research Centre","keywords":"Water security; Climate change; Environmental planning; Incentive; Water supply; Adaptation (eye); Water resources; Water conservation; Business; Environmental resource management; Natural resource economics; Political science; Geography; Economics; Environmental science; Environmental engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002705407,0.0004142176,0.0002813151,0.0007794281,0.0003951506,0.0003817042,0.0003406928,0.00009633289,0.001667405],"category_scores_gemma":[0.000003976726,0.0002056972,0.0001828646,0.0004858712,0.00005645108,0.0002383714,0.0003480479,0.0003027644,0.001580244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886981,"about_ca_system_score_gemma":0.00001082794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001207058,"about_ca_topic_score_gemma":0.00008317171,"domain_scores_codex":[0.9972895,0.00009045607,0.0003531192,0.0003942797,0.0002939577,0.001578711],"domain_scores_gemma":[0.9991518,0.00001804143,0.00001901971,0.00063766,0.00004328659,0.0001301986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002910738,0.0008749933,0.002671365,0.0019959,0.002094673,0.0006591662,0.291769,0.1603633,0.07665011,0.1827335,0.276664,0.003232842],"study_design_scores_gemma":[0.0004816783,0.00001748968,0.00008850981,0.00004807407,0.00004107879,0.000008605472,0.0001331058,0.00787262,0.5685216,0.002906717,0.4193757,0.0005048948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7214221,0.0001216379,0.0004469516,0.0916732,0.000763323,0.0008575723,0.00005934059,0.001281171,0.1833747],"genre_scores_gemma":[0.968237,0.00005172755,0.00004342699,0.006947134,0.001577788,0.00005468961,0.000238167,0.0001179991,0.02273211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4918714,"threshold_uncertainty_score":0.9992452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00754521216374492,"score_gpt":0.2067374033288176,"score_spread":0.1991921911650726,"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."}}