{"id":"W4402751381","doi":"10.1007/s11269-024-03985-8","title":"Distributed Nonconvex Optimization for Control of Water Networks with Time-coupling Constraints","year":2024,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Bristol Water; Imperial College London; Royal Academy of Engineering","keywords":"Convergence (economics); Mathematical optimization; Computer science; Optimization problem; Nonlinear system; Set (abstract data type); Benchmarking; Scale (ratio); Coupling (piping); Hydrogeology; Mathematics; Engineering","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":[0.00148834,0.001355113,0.001220682,0.0004057099,0.0004388976,0.001462851,0.001107786,0.001570136,0.002434952],"category_scores_gemma":[0.002518599,0.0004979548,0.0007577679,0.0006375162,0.00161149,0.001319268,0.001604694,0.001862359,0.000218935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436866,"about_ca_system_score_gemma":0.001847138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007910696,"about_ca_topic_score_gemma":0.006030601,"domain_scores_codex":[0.9992586,0.000260975,0.0000228092,0.0001863355,0.0001910099,0.00008039273],"domain_scores_gemma":[0.9989104,0.0006744744,0.0001595523,0.00006844007,0.0001350425,0.00005209795],"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":[0.00000954034,0.000009231035,0.00004977118,0.00002306044,0.00000662031,0.00001487304,0.000009300854,0.9919701,0.0003081739,0.005228406,0.0001988322,0.002172106],"study_design_scores_gemma":[0.000003646034,0.00000569689,0.00001513675,0.00000123766,8.923528e-7,0.000001566,0.000002210736,0.9983183,0.0000635883,0.001421135,0.0001656518,0.000001037495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00656302,0.0002211587,0.9906322,0.0002617096,0.00004313124,0.00002960846,0.00004113845,0.00008924931,0.00211888],"genre_scores_gemma":[0.8281664,0.0005784133,0.1616405,0.0002962016,0.0001053908,0.0004002291,0.000228579,0.0001539945,0.00843029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007910696,"threshold_uncertainty_score":0.01572931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00352064870132687,"score_gpt":0.1648709190856308,"score_spread":0.161350270384304,"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."}}