{"id":"W4413674273","doi":"10.64628/aam.99hk734wg","title":"What can other cities learn about water shortages from ‘Day Zero’?","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Zero (linguistics); Economic shortage; Water scarcity; Business; Natural resource economics; Environmental science; Geography; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002613853,0.000372061,0.0005621344,0.0006549312,0.00192853,0.00467293,0.001071744,0.002947166,0.01802135],"category_scores_gemma":[0.01824353,0.0002215972,0.0005805389,0.001003074,0.002671971,0.008616721,0.002244554,0.005243859,0.002637826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003161059,"about_ca_system_score_gemma":0.0033528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02799419,"about_ca_topic_score_gemma":0.0409961,"domain_scores_codex":[0.9989346,0.0004619832,0.00002677,0.0001280634,0.0001758275,0.0002726873],"domain_scores_gemma":[0.992462,0.002101136,0.0009199177,0.0005663572,0.002156898,0.001793816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000512086,0.0007256807,0.187608,0.0008205546,0.0003043337,0.001349331,0.02267674,0.006785826,0.0008401854,0.07757184,0.499214,0.2015914],"study_design_scores_gemma":[0.0001148105,0.0003389989,0.1403834,0.00128789,0.0001590285,0.0005372011,0.1207794,0.007001211,0.001560747,0.2882518,0.4393447,0.0002407089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2215423,0.00297551,0.009330004,0.6306616,0.004432242,0.00004705407,0.00184165,0.0002980367,0.1288716],"genre_scores_gemma":[0.909577,0.003689772,0.002536208,0.05745313,0.001581747,0.00005060607,0.001265245,0.0002057048,0.02364061],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02799419,"threshold_uncertainty_score":0.06028742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301936924041178,"score_gpt":0.1990447784739223,"score_spread":0.1860254092335105,"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."}}