{"id":"W2091285063","doi":"10.1016/j.enbuild.2011.06.032","title":"Decoupling of building energy use and climate","year":2011,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Decoupling (probability); Energy consumption; Energy (signal processing); Climate zones; Consumption (sociology); Variety (cybernetics); Environmental science; Energy intensity; Sample (material); Architectural engineering; Environmental economics; Engineering; Geography; Statistics; Physical geography; Mathematics; Economics; Physics; Electrical 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":[0.00008883858,0.0001553567,0.0001776922,0.0001268247,0.0000867275,0.00002993915,0.00007554807,0.000113323,0.00001808807],"category_scores_gemma":[0.00001003408,0.0001559266,0.00003098479,0.0001388697,0.00005907222,0.0003397588,0.00006356718,0.00005378458,4.295749e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009349157,"about_ca_system_score_gemma":0.000004046102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002300833,"about_ca_topic_score_gemma":0.00003778656,"domain_scores_codex":[0.9993076,0.000008312902,0.0002077005,0.0001800644,0.00007230809,0.000223991],"domain_scores_gemma":[0.9996836,0.00004259408,0.00004783334,0.0001232533,0.00002838284,0.000074398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006771428,0.00004782597,0.01561326,0.0001295824,0.0001475495,0.00001147747,0.0004811519,0.1249471,0.02201607,0.7978975,0.000203455,0.03843737],"study_design_scores_gemma":[0.001080477,0.0001745997,0.004402003,0.0003792866,0.0001389376,0.0001023371,0.00009593262,0.5266175,0.4374898,0.008191607,0.0201378,0.001189663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8986437,0.001213674,0.09899347,0.000004806644,0.0001667406,0.00001456048,0.000002950116,0.0001853961,0.0007746548],"genre_scores_gemma":[0.975835,0.003112239,0.02089034,0.00004967254,0.00003606023,0.000006505965,0.000004004197,0.00003166598,0.00003449099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7897059,"threshold_uncertainty_score":0.6358503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296482791259626,"score_gpt":0.1782592925864393,"score_spread":0.165294464673843,"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."}}