{"id":"W3108385236","doi":"10.3390/su12239892","title":"The Unintended Consequences of COVID-19 Mitigation Measures on Mass Transit and Car Use","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prompt (Canada); Natural Sciences and Engineering Research Council of Canada; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; Transit (satellite); Work (physics); Business; Sustainable transport; Transport engineering; Coronavirus disease 2019 (COVID-19); Pandemic; Mass transportation; Environmental health; Sustainability; Engineering; Medicine","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":[0.001379592,0.0002341629,0.0001574798,0.0005466916,0.001705904,0.0009491606,0.000574721,0.0004187498,0.00299855],"category_scores_gemma":[0.005117534,0.0001156361,0.0004675734,0.0009291029,0.00102802,0.0005700412,0.0009094247,0.000708128,0.0001946551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004883695,"about_ca_system_score_gemma":0.00884603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6768462,"about_ca_topic_score_gemma":0.8382229,"domain_scores_codex":[0.9981155,0.0003709714,0.00008055718,0.0001426608,0.0005404534,0.0007498512],"domain_scores_gemma":[0.996397,0.0005586356,0.00120138,0.0002620418,0.001088258,0.0004928128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001522185,0.0001890621,0.9575686,0.0001074365,0.00008353264,0.0002324905,0.005047389,0.0006503915,0.001340259,0.001694903,0.001811455,0.03112222],"study_design_scores_gemma":[0.000001531964,0.00008849077,0.9921212,0.00003596169,0.00001554431,0.0000289345,0.003719645,0.0001733763,0.0003279238,0.000148498,0.003330591,0.000008321254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844592,0.0004176307,0.0002882722,0.001664929,0.00004240304,0.00005140936,0.0007334842,0.00001023899,0.01233252],"genre_scores_gemma":[0.9979014,0.0002231124,0.0001711183,0.0002114068,0.000007782064,0.00001058088,0.0001809875,0.000002459743,0.001291202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6768462,"threshold_uncertainty_score":0.6501138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04060461254060199,"score_gpt":0.3222435788829063,"score_spread":0.2816389663423043,"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."}}