{"id":"W2539874559","doi":"10.1109/epc.2007.4520313","title":"Electricity Usage in Water Distribution Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Peaking power plant; Electricity; Leakage (economics); Electricity generation; Leverage (statistics); Energy conservation; Energy storage; Environmental science; Electric potential energy; Distributed generation; Pumped-storage hydroelectricity; Mains electricity; Water conservation; Electric power distribution; Environmental economics; Engineering; Renewable energy; Power (physics); Computer science; Electrical engineering; Water resources; Economics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001830525,0.00004390704,0.00004804813,0.00002657865,0.00001125014,0.00001238433,0.00002529185,0.00004772233,0.00002613368],"category_scores_gemma":[0.000001275607,0.00003132802,0.00001026255,0.00009504664,0.000002094835,0.00006366923,0.000004627112,0.00005063741,0.00001460027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005391391,"about_ca_system_score_gemma":5.474066e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005547314,"about_ca_topic_score_gemma":0.0004838828,"domain_scores_codex":[0.9996182,0.000004327389,0.0001127954,0.00004807955,0.00003537191,0.0001812689],"domain_scores_gemma":[0.9999173,0.000005007019,0.00000303372,0.00004752709,0.00000744638,0.00001971128],"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":[0.000003684329,0.000008593582,0.006234014,0.000009112355,0.000003765158,0.000006054262,0.00007105942,0.9884297,0.0005848944,0.0002977232,0.002906629,0.00144476],"study_design_scores_gemma":[0.0001739819,0.000008991809,0.0199168,0.000006270306,0.000001535963,0.000002496865,0.000006383019,0.9451235,0.02937477,0.00002635519,0.00524311,0.0001158063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1636281,0.00002515297,0.8288001,0.00000625556,0.0001438054,0.00005329039,3.055401e-7,0.0001057994,0.00723718],"genre_scores_gemma":[0.9993696,0.000005525728,0.0001015058,0.000007780545,0.00006130301,0.000001607611,0.00004677424,0.000005808705,0.0004000483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8357415,"threshold_uncertainty_score":0.127752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003752177581576391,"score_gpt":0.1704210211975968,"score_spread":0.1666688436160204,"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."}}