{"id":"W3008152626","doi":"10.3390/w12020567","title":"Scarcity Amidst Plenty: Lower Himalayan Cities Struggling for Water Security","year":2020,"lang":"en","type":"article","venue":"Water","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK; University of Cambridge; International Development Research Centre","keywords":"Water scarcity; Water security; Corporate governance; Urbanization; Geography; Environmental planning; Water supply; Government (linguistics); Agency (philosophy); Climate change; Water resources; Business; Water resource management; Economic growth; Environmental science; Agriculture; Environmental engineering; Economics","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":[0.0005606507,0.0001646225,0.000187995,0.0008597448,0.00389818,0.003259962,0.000402124,0.0003618999,0.002245294],"category_scores_gemma":[0.001576575,0.0001702833,0.0001250892,0.002326102,0.002783128,0.001651745,0.002818526,0.0009093258,0.0001200362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284324,"about_ca_system_score_gemma":0.002180792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04534405,"about_ca_topic_score_gemma":0.09929056,"domain_scores_codex":[0.9994625,0.0002006952,0.00001692122,0.00006523005,0.00008161132,0.000172953],"domain_scores_gemma":[0.9987786,0.0004578326,0.0002692446,0.0001289535,0.0001448796,0.0002204753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001412505,0.0001372054,0.5817825,0.0003851371,0.0001270975,0.003556629,0.3458913,0.001108175,0.001564104,0.02281135,0.005913878,0.03658139],"study_design_scores_gemma":[0.000007261917,0.00005391514,0.463967,0.0001282085,0.00003506636,0.0003551747,0.5133372,0.0004508359,0.0004619589,0.003985213,0.01718581,0.00003238768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926448,0.0001798143,0.0001307523,0.001232915,0.00000772366,0.000007508114,0.0000778485,0.000003595544,0.005715103],"genre_scores_gemma":[0.999279,0.000146843,0.00004704529,0.0001598859,0.000006025652,0.000006249591,0.00003666219,0.000001399814,0.0003169045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04534405,"threshold_uncertainty_score":0.09016025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090554176015724,"score_gpt":0.2559035125206988,"score_spread":0.2349979707605416,"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."}}