{"id":"W4402922876","doi":"10.3390/encyclopedia4040092","title":"Energy Efficiency in Buildings: Performance Gaps and Sustainable Materials","year":2024,"lang":"en","type":"article","venue":"Encyclopedia","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Tshwane University of Technology; National Research Foundation","keywords":"Architectural engineering; Efficient energy use; Energy (signal processing); Sustainable energy; Energy performance; Environmental economics; Environmental science; Business; Engineering; Economics; Renewable energy; Electrical engineering; Physics","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":[0.0001323884,0.00009606378,0.00008719484,0.0001413397,0.00003691777,0.00006543533,0.00006244174,0.00006002439,0.00006009206],"category_scores_gemma":[0.000005466371,0.00009365022,0.000009534149,0.0002645296,0.00001447648,0.0002323252,0.00003047028,0.00006243525,0.00000268508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003971465,"about_ca_system_score_gemma":0.00001442277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004110107,"about_ca_topic_score_gemma":0.000004786508,"domain_scores_codex":[0.9994225,0.000008152609,0.0001304156,0.0001340282,0.00006096638,0.0002439369],"domain_scores_gemma":[0.999861,0.0000185777,0.000006072218,0.00007785588,0.000007982726,0.00002851003],"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":[0.0000156291,0.00003610477,0.001787503,0.001369582,0.00003000976,0.0001363394,0.001278807,0.8400713,0.004589748,0.09681933,0.004716041,0.04914967],"study_design_scores_gemma":[0.0004724425,0.0001002159,0.002307831,0.0005056008,0.0000280361,0.00005456726,0.0002397196,0.5375167,0.03278353,0.002224518,0.4227995,0.0009672806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699721,0.003852167,0.005062255,0.00002031762,0.0005298908,0.00004237004,0.000001380844,0.0003309013,0.0201886],"genre_scores_gemma":[0.9924758,0.004813109,0.0004112755,0.00001467151,0.00009671489,0.00002553158,0.000006972837,0.00002356633,0.002132364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4180835,"threshold_uncertainty_score":0.3818945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002696265219329884,"score_gpt":0.1802629107053907,"score_spread":0.1775666454860608,"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."}}