{"id":"W4404818588","doi":"10.1016/j.jth.2024.101957","title":"Understanding COVID-19 pandemic-related shifts in active commute patterns: Insights from employees of a Canadian university","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Outbreak; Infectious disease (medical specialty); Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002383513,0.0003885388,0.0004354497,0.001436467,0.008365013,0.002607139,0.001695358,0.0006966807,0.00245717],"category_scores_gemma":[0.003645703,0.0003185709,0.0005230176,0.002519564,0.001692909,0.00103102,0.002113311,0.001107469,0.0003032017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03749588,"about_ca_system_score_gemma":0.05695929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9877935,"about_ca_topic_score_gemma":0.9944704,"domain_scores_codex":[0.9983873,0.0002073462,0.0000434369,0.000213335,0.000371544,0.0007770291],"domain_scores_gemma":[0.9975782,0.0002552239,0.00029131,0.00007327002,0.001056987,0.0007450102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001560269,0.0002413873,0.849486,0.0001808966,0.00004504603,0.0002025513,0.1173533,0.0002004599,0.001053261,0.0009336509,0.004033032,0.02611439],"study_design_scores_gemma":[0.000005963637,0.00008461277,0.7786233,0.0001721806,0.00002177654,0.00004880209,0.2131517,0.0003560721,0.0001403521,0.0001492863,0.007193053,0.00005291222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994961,0.0004491837,0.0001200913,0.001154569,0.00001684282,0.00004650621,0.0005800376,0.00000358377,0.002668121],"genre_scores_gemma":[0.9964601,0.0007286493,0.0002986756,0.0004875939,0.00001000779,0.00003858144,0.0004113289,0.000005223581,0.001559817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03749588,"threshold_uncertainty_score":0.2720529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138639840231729,"score_gpt":0.3405244654283172,"score_spread":0.2018846251965881,"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."}}