{"id":"W4404213650","doi":"10.1016/j.rtbm.2024.101234","title":"Effects of Covid-19 pandemic restrictions on zonal transit demand: Evidence from a low-density city","year":2024,"lang":"en","type":"article","venue":"Research in Transportation Business & Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transit (satellite); Business; Geography; Virology; Medicine; Transport engineering; Public transport; Engineering; Outbreak; Infectious disease (medical specialty)","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":[0.00108647,0.0004443175,0.0005593894,0.001012256,0.001340611,0.002002354,0.001435233,0.001211948,0.006630505],"category_scores_gemma":[0.006831437,0.0005387756,0.001338741,0.002589572,0.001873084,0.0009791515,0.001974938,0.001526812,0.0005798567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002840576,"about_ca_system_score_gemma":0.002441188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3225469,"about_ca_topic_score_gemma":0.3888972,"domain_scores_codex":[0.9980445,0.000844579,0.00009009015,0.0002221907,0.0001972799,0.0006014166],"domain_scores_gemma":[0.9892714,0.004047667,0.003102699,0.0008093107,0.001108639,0.001660168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001162906,0.001343756,0.9886248,0.00007695922,0.0006815394,0.0002730511,0.001160296,0.001378465,0.0004632413,0.0004020448,0.001099228,0.003333765],"study_design_scores_gemma":[0.00007182641,0.0003655272,0.9935356,0.00002030735,0.0002356405,0.00002304304,0.004173815,0.0007543174,0.0001468689,0.00008168641,0.0005742572,0.00001711956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983753,0.00007221223,0.00003057393,0.0002081924,0.000004477518,0.000008293108,0.000527355,0.000002457585,0.0007710788],"genre_scores_gemma":[0.9985159,0.0001287948,0.00003053199,0.00006828912,0.000006990085,0.00001432939,0.000730289,0.000003047591,0.0005016842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3225469,"threshold_uncertainty_score":0.6413389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125205096815182,"score_gpt":0.4238634852038181,"score_spread":0.2986583883886361,"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."}}