{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02272977,0.0007724981,0.002419203,0.003148804,0.0009747745,0.005592958,0.002387236,0.003435066,0.003151376],"category_scores_gemma":[0.04804766,0.0006201131,0.001804673,0.003976689,0.007835679,0.01073423,0.00337873,0.003417464,0.0004121097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480551,"about_ca_system_score_gemma":0.004647163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872837,"about_ca_topic_score_gemma":0.004016215,"domain_scores_codex":[0.9852033,0.007362333,0.002407803,0.001844774,0.002710857,0.0004709712],"domain_scores_gemma":[0.9100371,0.07702348,0.006847572,0.001772707,0.003943887,0.000375347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008408471,0.000123675,0.02319429,0.1777403,0.002389404,0.00086513,0.02197112,0.0009046003,0.0008194141,0.1393783,0.01632835,0.6154445],"study_design_scores_gemma":[0.0001209403,0.0007567698,0.05512813,0.3294204,0.005385738,0.004220669,0.07927269,0.001190543,0.001609308,0.1954563,0.3270445,0.0003942333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01062772,0.9431474,0.003662213,0.03647868,0.001494906,0.00004698549,0.0003278048,0.00001501841,0.004199198],"genre_scores_gemma":[0.242379,0.7383043,0.004201566,0.0110633,0.002813415,0.0002024164,0.0003260025,0.00002659568,0.000683435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02272977,"threshold_uncertainty_score":0.120208,"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."}}