{"id":"W4245111253","doi":"10.32920/ryerson.14648745","title":"An Investigation Of The Performance Of District Heating Substations Using Computer Simulation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Sizing; Control (management); Sensitivity (control systems); Engineering; Heating system; Reliability engineering; Computer science; Mechanical engineering; Electronic engineering","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":[0.0001116709,0.0001353166,0.0001927548,0.0000907312,0.00004350248,0.0000300697,0.0001322756,0.0001563508,0.000009921354],"category_scores_gemma":[0.00001021892,0.0001149157,0.00005704253,0.0003103522,0.00002862672,0.0001774827,0.00004428351,0.0001774807,1.268472e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092573,"about_ca_system_score_gemma":0.00007414007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003878848,"about_ca_topic_score_gemma":0.00005083789,"domain_scores_codex":[0.9990591,0.00007687832,0.0004835906,0.0001310036,0.0001688318,0.00008057086],"domain_scores_gemma":[0.9990618,0.00004276253,0.00020033,0.0003313248,0.0003434184,0.00002031245],"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":[6.534581e-7,0.000004573067,0.007778241,0.0003069506,0.00002520477,4.215035e-8,0.0007994591,0.9846193,0.006177817,0.00005291613,0.000001354046,0.0002334471],"study_design_scores_gemma":[0.00004834713,0.000007561704,0.009086506,0.0004341077,0.00002424964,5.714337e-7,0.00009559975,0.9514042,0.03879465,0.000006150514,2.469895e-7,0.00009780063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6695091,0.00001759752,0.3298894,0.000001354934,0.0003417965,0.000113606,0.000007582166,0.00005155721,0.00006803333],"genre_scores_gemma":[0.9630449,0.000005560582,0.03662321,0.000003686259,0.00005378445,0.000005166362,0.0002334184,0.00002507104,0.000005218373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2935358,"threshold_uncertainty_score":0.4686124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190809100998745,"score_gpt":0.2334545143501251,"score_spread":0.2143736042502506,"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."}}