{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001296218,0.0001038621,0.0001115255,0.00002810113,0.00005887574,0.00006464623,0.0000565507,0.00005610181,0.00003267859],"category_scores_gemma":[0.000003091567,0.00007403405,0.00003012485,0.00005045849,0.000005889261,0.0002571211,0.00001098692,0.00003117086,0.000003008569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003732568,"about_ca_system_score_gemma":0.000002725352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001200302,"about_ca_topic_score_gemma":0.000005637294,"domain_scores_codex":[0.9993888,0.00001493388,0.0002197814,0.0001220168,0.00006322307,0.0001912253],"domain_scores_gemma":[0.9997756,0.000004538107,0.00001875462,0.0001159174,0.0000460274,0.00003913509],"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":[0.000003611573,0.000009055503,0.00007457715,0.000140658,0.00001356384,1.915356e-7,0.0003368079,0.9966041,0.000123755,0.002214513,0.0004637926,0.00001537291],"study_design_scores_gemma":[0.0002689815,0.00001476261,0.000004552216,0.000008153268,0.000008043861,0.000001829753,0.0001800177,0.9926284,0.006446892,0.000003153089,0.0003109784,0.0001242345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001322452,0.00002414455,0.9824538,0.000001612097,0.0002903453,0.0004754945,0.00003760814,0.0003762854,0.0150183],"genre_scores_gemma":[0.8915871,0.000001932982,0.1053374,0.000003815892,0.0001128294,0.000172307,0.001034352,0.00003474117,0.001715509],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8902647,"threshold_uncertainty_score":0.3019021,"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."}}