{"id":"W2795869923","doi":"10.3390/w10040428","title":"Identification of Factors That Influence Energy Performance in Water Distribution System Mains","year":2018,"lang":"en","type":"article","venue":"Water","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jacobs (Canada); Queen's University","funders":"Engineering and Physical Sciences Research Council","keywords":"Leakage (economics); Mains electricity; Environmental science; Energy (signal processing); Electricity; Asset management; Pipe network analysis; Principal component analysis; Marine engineering; Engineering; Computer science; Statistics; Mathematics; Mechanics","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":[0.0001110899,0.00008170133,0.0000971407,0.00005720966,0.00002936704,0.00002676899,0.00008108866,0.00005910493,0.000009017607],"category_scores_gemma":[9.166599e-7,0.00004962457,0.00001718983,0.00004779342,0.00002149957,0.0002771928,0.00001757279,0.00002758455,0.00004031035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007786915,"about_ca_system_score_gemma":0.000001433856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001142655,"about_ca_topic_score_gemma":0.00007890855,"domain_scores_codex":[0.9993809,0.00001469381,0.000241626,0.00009429995,0.00009784269,0.0001706638],"domain_scores_gemma":[0.9997701,0.000001972411,0.00001870147,0.0001456887,0.00004474146,0.00001881213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003501401,0.0000442836,0.2519487,0.001386223,0.00006001061,0.000003914544,0.01179586,0.2470652,0.4861298,0.0007883345,0.0004254097,0.000317214],"study_design_scores_gemma":[0.00009424348,0.00001193883,0.03708819,0.00005105355,0.000003511108,0.000001403568,0.00005929913,0.04849495,0.9130008,0.000003949206,0.001106512,0.00008418117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891177,0.000006032561,0.01020539,0.000005837864,0.0003166751,0.00006009819,0.000008118273,0.00007031867,0.0002098589],"genre_scores_gemma":[0.9995742,0.000003870712,0.000007972007,0.000001599937,0.00003166133,0.00001177195,0.0001372629,0.000011854,0.0002198503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.426871,"threshold_uncertainty_score":0.2023631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005302357024908943,"score_gpt":0.1656165913865544,"score_spread":0.1603142343616454,"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."}}