{"id":"W2025448363","doi":"10.14796/jwmm.c368","title":"Energy Metrics for Water Distribution System Assessment","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Energy (signal processing); Distribution (mathematics); Energy distribution; Computer science; Statistics; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001258797,0.0001999122,0.0003011137,0.0001278131,0.000243021,0.00008254499,0.0003621323,0.00004926563,0.00002804808],"category_scores_gemma":[0.000004361703,0.0001140051,0.0001710157,0.00009016115,0.00002648968,0.0003437888,0.0004643839,0.00008037551,0.00001673661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005601312,"about_ca_system_score_gemma":0.000001777936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005154496,"about_ca_topic_score_gemma":0.000008021468,"domain_scores_codex":[0.9979226,0.00007701066,0.0006391958,0.0002444999,0.0006405449,0.0004761689],"domain_scores_gemma":[0.9994742,0.00001990182,0.0001439417,0.0002093144,0.00005811291,0.00009458932],"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":[0.0001448236,0.000269527,0.0002684288,0.0002898679,0.0005946156,0.00004422535,0.0003570818,0.9189923,0.009682268,0.05081285,0.005133468,0.01341057],"study_design_scores_gemma":[0.001086716,0.0002861538,0.00003939786,0.00007906654,0.0002771089,0.00002008468,0.0003650856,0.9161048,0.02176512,0.02518479,0.03448108,0.0003105931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0264575,0.00002075695,0.9607268,0.0006104353,0.0005060551,0.000106712,0.000005906702,0.00002714838,0.01153866],"genre_scores_gemma":[0.9923796,0.00001240828,0.006614716,0.0001203728,0.0001948674,0.00002312684,0.00002712368,0.00002374121,0.0006040668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9659221,"threshold_uncertainty_score":0.4648992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160410257460276,"score_gpt":0.2213383907709979,"score_spread":0.2052973650249703,"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."}}