{"id":"W4386452779","doi":"10.1080/00038628.2023.2253780","title":"Interview study to uncover the energy use impacts and behaviours of teleworkers who relocated during COVID-19 in Canada","year":2023,"lang":"en","type":"article","venue":"Architectural Science Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Directorate for Engineering; Treasury","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Engineering; Applied psychology; Architectural engineering; Medicine; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002716874,0.0001151912,0.0002877595,0.0001065217,0.00044575,0.00005888264,0.0006766741,0.00001201728,0.00003267701],"category_scores_gemma":[0.0009959247,0.0000704249,0.00004188953,0.003886059,0.000474597,0.0002490139,0.0001485681,0.0001173472,9.00545e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005023234,"about_ca_system_score_gemma":0.002199723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9655868,"about_ca_topic_score_gemma":0.9938143,"domain_scores_codex":[0.9978532,0.0003463543,0.0003575648,0.0003492506,0.0006311032,0.0004625788],"domain_scores_gemma":[0.9989775,0.0002248308,0.0001018311,0.0002791042,0.00005336183,0.0003633332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006870491,0.00001855785,0.9623155,0.0002939951,0.000004133842,0.00002600216,0.005810232,0.00005982918,0.0000297814,0.00003275423,0.000100809,0.03130155],"study_design_scores_gemma":[0.00007816921,0.00002478154,0.9967879,0.0008540762,0.00001654979,0.000001216618,0.001133623,0.000008024739,0.00002348404,0.00004099829,0.0009254959,0.0001056779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989029,0.004917275,0.000002869136,0.005259191,0.0000652728,0.0006679,0.000006846847,0.00002238735,0.00002925584],"genre_scores_gemma":[0.9938288,0.004828872,0.000007590563,0.001253396,0.000009415416,0.00001912047,0.000001056129,0.000004249092,0.00004754354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03447242,"threshold_uncertainty_score":0.3902214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04892614273016712,"score_gpt":0.3488211487310782,"score_spread":0.2998950060009111,"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."}}