{"id":"W2557253486","doi":"10.5539/jms.v6n4p73","title":"Revival of Hauz Khas Lake in Delhi: Approaches to Urban Water Resource Management in India","year":2016,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Water resources management and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water scarcity; Water table; Sustainability; Government (linguistics); Geography; Water resources; Environmental planning; Water resource management; Groundwater; Engineering; Environmental science; Agriculture; Archaeology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001285102,0.0001644083,0.0003028535,0.0007427093,0.00002104906,0.00003532816,0.0002345829,0.00005055254,0.00002321058],"category_scores_gemma":[0.00001763644,0.0001076263,0.00006426331,0.0002948493,0.00004164577,0.0002394765,0.0002082594,0.0001084046,0.000001417979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050572,"about_ca_system_score_gemma":0.000003837251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002803216,"about_ca_topic_score_gemma":0.00001816254,"domain_scores_codex":[0.9984941,0.00008450366,0.0006576048,0.0001831784,0.0002572859,0.0003232766],"domain_scores_gemma":[0.9995639,0.00002419137,0.00007739828,0.0002233531,0.00003950743,0.00007165466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001134406,0.0006315245,0.6711563,0.007286468,0.0005424445,0.0005917031,0.008916871,0.1259124,0.00001931089,0.009094778,0.005431018,0.1692827],"study_design_scores_gemma":[0.006760692,0.0003868987,0.7630399,0.000752061,0.0002006142,0.000005733293,0.008751899,0.003696569,0.0004734687,0.008158634,0.206989,0.0007844594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775377,0.0002050866,0.007141025,0.001032771,0.0000652229,0.0009456789,0.00000132755,0.00002483161,0.01304639],"genre_scores_gemma":[0.9974576,0.0001553048,0.000917737,0.0000254238,0.00003241369,0.00001706623,0.000001913641,0.00001750735,0.001375056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.201558,"threshold_uncertainty_score":0.4388873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520089363857927,"score_gpt":0.1886912534889063,"score_spread":0.173490359850327,"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."}}