{"id":"W2326530988","doi":"10.1061/41203(425)148","title":"A Two Stage Optimization Approach for Calibrating Water Distribution Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Calibration; SCADA; Range (aeronautics); Computer science; Flow (mathematics); Stage (stratigraphy); Test data; Simulation; Mathematical optimization; Algorithm; Mathematics; Statistics; Engineering","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":[0.003208383,0.001867257,0.001607882,0.001378818,0.0007864858,0.001953858,0.00175279,0.002145009,0.004286449],"category_scores_gemma":[0.004389604,0.001558423,0.001298027,0.001305346,0.0007140995,0.001396398,0.001786791,0.001856156,0.0004392595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662205,"about_ca_system_score_gemma":0.002605845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008326096,"about_ca_topic_score_gemma":0.006819481,"domain_scores_codex":[0.9981512,0.0007991428,0.00008409107,0.0004215551,0.0003739868,0.0001699733],"domain_scores_gemma":[0.9984416,0.0009349554,0.0001569478,0.00009243414,0.0003268332,0.00004712041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003062991,0.00004588308,0.0002732437,0.00004706152,0.00002671219,0.00002534161,0.000032782,0.9821748,0.0009371559,0.001979918,0.0002197523,0.01420678],"study_design_scores_gemma":[0.00001125629,0.00005232675,0.0001149674,0.00000469576,0.000006328944,0.000004382828,0.000009235797,0.9982305,0.0004275773,0.0008636913,0.000267872,0.00000712014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01456812,0.0000931446,0.9808587,0.0001203833,0.00002072178,0.0002543724,0.00008008863,0.000319157,0.003685249],"genre_scores_gemma":[0.3621439,0.0001148527,0.6319398,0.0001426084,0.00002917744,0.0009643785,0.0002602338,0.0001296916,0.004275461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008326096,"threshold_uncertainty_score":0.01696777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403178339666532,"score_gpt":0.189502291266575,"score_spread":0.1654705078699097,"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."}}