{"id":"W2931342092","doi":"10.1016/j.buildenv.2019.03.048","title":"On quantifying building performance adaptability to variable occupancy","year":2019,"lang":"en","type":"article","venue":"Building and Environment","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Concordia University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Clean Energy Institute","keywords":"Adaptability; Occupancy; Variable (mathematics); Control (management); Building automation; Computer science; Automation; Reliability engineering; Engineering; Risk analysis (engineering); Systems engineering; Architectural engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007512455,0.0005355756,0.0004999902,0.0003355694,0.0001881401,0.0005846421,0.0004978829,0.0004260232,0.0007564599],"category_scores_gemma":[0.003408745,0.0001813005,0.0003678935,0.0005146511,0.0005235802,0.0006664761,0.0005799311,0.0003489165,0.0001374026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004290123,"about_ca_system_score_gemma":0.0002134695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002209854,"about_ca_topic_score_gemma":0.001538666,"domain_scores_codex":[0.9995446,0.0001339793,0.00001445713,0.000108509,0.0001212137,0.00007730866],"domain_scores_gemma":[0.9983354,0.001190503,0.0001662247,0.0001900575,0.00008213914,0.00003561236],"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":[0.00007828846,0.00004228461,0.005414464,0.0000234499,0.00002167856,0.00002657131,0.0000265004,0.9694943,0.009973154,0.0009893584,0.00007466933,0.01383525],"study_design_scores_gemma":[0.000002228112,0.0001116448,0.0117729,0.000003524718,0.00001457059,0.00003975971,0.00003447752,0.9799567,0.006633434,0.001237556,0.0001824788,0.00001061906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7169873,0.0002165805,0.2768398,0.0001104776,0.0000265109,0.0000371125,0.0001851106,0.0001968738,0.005400355],"genre_scores_gemma":[0.995975,0.00003691488,0.003645043,0.000008819779,0.000005892455,0.000007297969,0.00003439063,0.00001927735,0.0002674056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002209854,"threshold_uncertainty_score":0.004393935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057657363777489,"score_gpt":0.193230445277985,"score_spread":0.1826538716402101,"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."}}