{"id":"W4200601656","doi":"10.1007/s12273-021-0864-x","title":"A comprehensive simulation-based assessment of office building performance adaptability to teleworking scenarios in different Canadian climate zones","year":2021,"lang":"en","type":"article","venue":"Building Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centre of Innovation","keywords":"Occupancy; Adaptability; Work (physics); Building energy simulation; Energy consumption; Engineering; Thermostat; Environmental science; Architectural engineering; Transport engineering; Energy performance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006062115,0.0006980477,0.00051784,0.0006446904,0.001197202,0.00101955,0.001022734,0.0006414439,0.001198711],"category_scores_gemma":[0.0009601328,0.0003011074,0.0006578445,0.001039792,0.0005000744,0.0004333649,0.0004573763,0.0005005572,0.0001212288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008895941,"about_ca_system_score_gemma":0.005800774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.907732,"about_ca_topic_score_gemma":0.9266139,"domain_scores_codex":[0.9996837,0.00005137271,0.000009748468,0.00004530885,0.00008311104,0.000126805],"domain_scores_gemma":[0.9994977,0.0001569949,0.00003011196,0.00004298219,0.0001885835,0.00008354882],"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":[0.0004263629,0.0004288075,0.02420697,0.00003785684,0.0000722976,0.00007534405,0.0001921174,0.9618134,0.003699571,0.000503988,0.0008186245,0.007724559],"study_design_scores_gemma":[0.00005967218,0.0002203148,0.08779842,0.00001038342,0.00005670658,0.00001931859,0.0005747619,0.9073448,0.00251759,0.000167415,0.001177729,0.00005287212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952135,0.00002170496,0.0008892045,0.00002929739,0.00000414188,0.00004115863,0.0006680472,0.00004890832,0.003084018],"genre_scores_gemma":[0.9979097,0.00002573655,0.0009335083,0.000007103964,9.24486e-7,0.00002102006,0.0006431146,0.000009912373,0.0004489505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09226805,"threshold_uncertainty_score":0.1856228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924237868409522,"score_gpt":0.2747499746328516,"score_spread":0.2555075959487564,"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."}}