{"id":"W3130203824","doi":"10.3390/su13063146","title":"The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality?","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Energy performance; Energy (signal processing); Normalization (sociology); Categorization; Architectural engineering; Scope (computer science); Computer science; Efficient energy use; Risk analysis (engineering); Engineering; Business; Artificial intelligence; Mathematics","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":[0.0002827312,0.00009215252,0.0001304117,0.00003425649,0.00007231363,0.00001706713,0.0001358779,0.00006982066,0.00001771014],"category_scores_gemma":[0.0001935353,0.00007026362,0.00003544605,0.0003983061,0.00005537229,0.0001128153,0.00004927435,0.00009915904,1.453144e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250585,"about_ca_system_score_gemma":0.0001565758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001314136,"about_ca_topic_score_gemma":0.0002624086,"domain_scores_codex":[0.9992186,0.00004911044,0.0002403342,0.0001434253,0.000111015,0.000237536],"domain_scores_gemma":[0.9992958,0.00008356989,0.00002950553,0.0003492238,0.0002115917,0.00003035052],"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":[0.0000957365,0.00006572421,0.02976678,0.0002034687,0.00001934722,0.000007881221,0.0002668317,0.8750184,0.0002220243,0.0338845,0.0001753816,0.06027396],"study_design_scores_gemma":[0.0008767992,0.0001112335,0.04037081,0.00009810155,0.00002553338,0.00001989241,0.002862467,0.6775035,0.114443,0.05625105,0.1068142,0.0006233461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994446,0.0006827603,0.002309393,0.0002295356,0.0001094618,0.00007195658,0.000002331797,0.00008935722,0.002059136],"genre_scores_gemma":[0.9990545,0.0003007056,0.0002289134,0.00002042658,0.00001990842,0.00002281736,0.000005524489,0.0000109776,0.0003362609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1975148,"threshold_uncertainty_score":0.2865267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006784053077399882,"score_gpt":0.222560883784574,"score_spread":0.2157768307071741,"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."}}