{"id":"W4324057287","doi":"10.2166/ws.2023.072","title":"Water scarcity and excess: water insecurity in cities of Nepal","year":2023,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Water scarcity; Water security; Scarcity; Water quality; Business; Context (archaeology); Water resources; Environmental planning; Natural resource economics; Water supply; Corporate governance; Environmental resource management; Geography; Environmental science; Economics; Environmental engineering; Ecology","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":[0.0006424614,0.0001522991,0.0002308542,0.0007636513,0.003423571,0.002252356,0.000596881,0.000637423,0.00350216],"category_scores_gemma":[0.001743266,0.0002326021,0.0001244454,0.001723887,0.002292589,0.001944739,0.004081905,0.000970699,0.0001270518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00281955,"about_ca_system_score_gemma":0.003302989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.039113,"about_ca_topic_score_gemma":0.09263143,"domain_scores_codex":[0.9995648,0.0001922728,0.00002464671,0.0000469974,0.00004851404,0.00012268],"domain_scores_gemma":[0.9988503,0.0005475035,0.0002639399,0.00005573751,0.0001149349,0.0001675435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009621607,0.0001712112,0.4165041,0.001471234,0.00007804465,0.008207229,0.5183998,0.0008570103,0.001950592,0.01190382,0.004578148,0.03578253],"study_design_scores_gemma":[0.000003269744,0.00005893399,0.1825048,0.0004176423,0.00001868173,0.0007658338,0.7980451,0.0003928538,0.000332691,0.001808378,0.01560672,0.00004513286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927652,0.0004387534,0.0001860977,0.001537411,0.00001010119,0.00002799453,0.0001806712,0.000003610478,0.004850214],"genre_scores_gemma":[0.9989725,0.000357713,0.0000960347,0.0001302339,0.000003096941,0.00002773205,0.00003472982,0.000001378524,0.0003765372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.039113,"threshold_uncertainty_score":0.07777065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119157073740638,"score_gpt":0.2510206044166428,"score_spread":0.239104897042579,"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."}}