{"id":"W2162165743","doi":"10.3390/su4081711","title":"Energy Costs of Energy Savings in Buildings: A Review","year":2012,"lang":"en","type":"review","venue":"Sustainability","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Context (archaeology); Efficient energy use; Energy (signal processing); Yardstick; Architectural engineering; Environmental economics; Clearance; Embodied energy; Risk analysis (engineering); Object (grammar); Production (economics); Computer science; Operations management; Engineering; Business; Economics; Microeconomics; Artificial intelligence","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":[0.0007944123,0.001187247,0.001815106,0.003770166,0.0002759786,0.001464734,0.0009673527,0.001093269,0.004030186],"category_scores_gemma":[0.001459372,0.0005442605,0.0009587608,0.006497943,0.00042477,0.001657357,0.0005746867,0.000919265,0.0008765641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009295093,"about_ca_system_score_gemma":0.001685701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477514,"about_ca_topic_score_gemma":0.003806365,"domain_scores_codex":[0.9995555,0.00008149128,0.00007042468,0.00007978373,0.0001843362,0.00002840339],"domain_scores_gemma":[0.9989313,0.0006732887,0.0001661422,0.00001836379,0.0001863325,0.00002451605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009767983,0.0000970723,0.0004426531,0.07221728,0.0003282668,0.0001643902,0.00009324052,0.00164345,0.0008285166,0.007099256,0.01488001,0.9021081],"study_design_scores_gemma":[0.00002520446,0.0002008568,0.00456283,0.04136523,0.001088632,0.001275268,0.0002707728,0.0005079804,0.001332676,0.005206484,0.9440979,0.00006623377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002039018,0.9989328,0.00008441856,0.00008802536,0.00006130217,0.000003034791,0.00001658096,0.000002377986,0.0006076029],"genre_scores_gemma":[0.001491548,0.9981476,0.00011089,0.000036293,0.00005020302,0.000003204057,0.00001897167,9.644998e-7,0.0001404028],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004030186,"threshold_uncertainty_score":0.01348233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247967313940987,"score_gpt":0.2664871357453445,"score_spread":0.2540074626059347,"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."}}