{"id":"W2746387342","doi":"","title":"MODELING ENERGY DEMAND FOR HEATING AT CITY SCALE","year":2010,"lang":"en","type":"article","venue":"Proceedings of SimBuild","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heating system; Work (physics); Energy consumption; Scale (ratio); Energy demand; Quarter (Canadian coin); Energy (signal processing); Consumption (sociology); Computer science; Architectural engineering; Environmental economics; Engineering; Geography; Mechanical engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001194997,0.0001155934,0.0001447891,0.00006616403,0.0001001978,0.00002270752,0.0001257269,0.0001170389,0.00001372045],"category_scores_gemma":[0.00002395403,0.000121751,0.00005596941,0.0001079678,0.00001946765,0.0001833834,0.00003793768,0.00009790918,1.690228e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002027539,"about_ca_system_score_gemma":0.000004609606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002060767,"about_ca_topic_score_gemma":0.00003173771,"domain_scores_codex":[0.9993635,3.884462e-7,0.000198785,0.0001460458,0.00009834713,0.0001929603],"domain_scores_gemma":[0.9997177,0.0000170555,0.00003432916,0.00005339252,0.0001238197,0.00005375742],"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":[0.00002096515,0.00002065837,0.002205444,0.0001363451,0.00002240481,3.854205e-8,0.0001275054,0.8776349,0.1100341,0.007363717,0.0004257555,0.002008171],"study_design_scores_gemma":[0.0001774862,0.00001546824,0.0000213495,0.00002274075,0.00001202819,0.000002627396,0.00001664538,0.853448,0.1443123,0.00123225,0.0006161616,0.0001229415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562755,0.00006296267,0.03992926,0.00002430316,0.0001753404,0.00006269958,0.000003156592,0.0002071202,0.00325968],"genre_scores_gemma":[0.974112,0.0000254977,0.02549857,0.00002718181,0.0001337488,0.00003643814,0.000005572253,0.00003333665,0.000127613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03427817,"threshold_uncertainty_score":0.4964864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007328764203049188,"score_gpt":0.1956034224058357,"score_spread":0.1882746582027865,"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."}}