{"id":"W4388645442","doi":"10.2166/wrd.2023.063","title":"Smart water network infrastructures","year":2023,"lang":"en","type":"article","venue":"Water Reuse","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Multiphysics; Fluent; Environmental science; Water flow; Water consumption; Computer science; Water pressure; Civil engineering; Environmental engineering; Engineering; Simulation; Computer simulation; Finite element method","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002371864,0.0005313936,0.0002766053,0.0004169794,0.0004819133,0.0009582311,0.000696601,0.0005193977,0.01536098],"category_scores_gemma":[0.0004675018,0.0002005007,0.0003630884,0.0006536504,0.0003741037,0.001647359,0.001354874,0.0004907034,0.001905998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009992764,"about_ca_system_score_gemma":0.0008764477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004213126,"about_ca_topic_score_gemma":0.005340872,"domain_scores_codex":[0.9996835,0.00006349854,0.00001270477,0.00007577954,0.00009951726,0.00006493484],"domain_scores_gemma":[0.999842,0.00002279524,0.00001748389,0.0000441527,0.00005195988,0.00002144503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001784816,0.0001276553,0.002275573,0.0003794083,0.00006069131,0.0004095841,0.0001203863,0.533743,0.02621557,0.119211,0.02697129,0.2903073],"study_design_scores_gemma":[0.00006064136,0.0001953072,0.001424329,0.0000893544,0.00004075635,0.0002043321,0.0003028451,0.6927596,0.01493072,0.06892722,0.2210302,0.00003466538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1177451,0.0006482092,0.688119,0.002415287,0.0004572755,0.0004177341,0.001417663,0.003707087,0.1850727],"genre_scores_gemma":[0.886317,0.0007398483,0.0674147,0.0002753418,0.00005797598,0.0001883806,0.001185214,0.0001927795,0.04362869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01536098,"threshold_uncertainty_score":0.05138761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006555739723887461,"score_gpt":0.1740812346898468,"score_spread":0.1675254949659593,"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."}}