{"id":"W4312832457","doi":"10.2139/ssrn.4300035","title":"The Impact of the Thermal Distribution Network's Operating Temperature and System Design on Different Communities' Energy Profiles","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; McMaster University","funders":"","keywords":"Energy (signal processing); Thermal; Environmental science; Business; Environmental economics; Geography; Economics; Mathematics; Meteorology; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058985,0.0003658398,0.000322466,0.0004357659,0.0004099334,0.001033189,0.0004047243,0.0005416682,0.002262495],"category_scores_gemma":[0.00591972,0.0002612894,0.0003905737,0.0005016862,0.0004418477,0.001056949,0.0004178167,0.0004777343,0.0002864551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009944367,"about_ca_system_score_gemma":0.0006415439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271276,"about_ca_topic_score_gemma":0.0169917,"domain_scores_codex":[0.9994473,0.0002164227,0.00001281974,0.00006566628,0.00007866565,0.0001790802],"domain_scores_gemma":[0.9962528,0.002545399,0.0001992457,0.0001357829,0.0006063882,0.0002603724],"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":[0.002979587,0.0003697787,0.0571018,0.0001391801,0.0002096381,0.0005186556,0.000217218,0.888392,0.02859856,0.001543551,0.001120514,0.01880945],"study_design_scores_gemma":[0.00009270252,0.0009810863,0.1045413,0.00003246851,0.0002706816,0.0002190922,0.001471095,0.8661849,0.024068,0.001317849,0.0007641127,0.00005677848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954891,0.00003759034,0.002113089,0.00006300007,0.000006998126,0.00001076167,0.0001447062,0.00004088421,0.002093808],"genre_scores_gemma":[0.9994239,0.000009690511,0.0001711764,0.000004971834,6.95612e-7,0.000002145707,0.00004800897,0.000009205308,0.000330261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01271276,"threshold_uncertainty_score":0.02527755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004162214579462184,"score_gpt":0.1805333483964787,"score_spread":0.1763711338170165,"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."}}