{"id":"W3214007060","doi":"10.1016/j.tra.2021.11.013","title":"How has the COVID-19 pandemic affected the use of ride-sourcing services? An empirical evidence-based investigation for the Greater Toronto Area","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Business; Strategic sourcing; Marketing; Strategic planning","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":[0.002131716,0.0001292632,0.000126909,0.00006436253,0.0006822439,0.0003258182,0.000169153,0.00009004719,0.00003739164],"category_scores_gemma":[0.002616731,0.00007778592,0.00005795461,0.0006859095,0.0003127642,0.001340905,0.000003191152,0.0003105199,6.733887e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008623421,"about_ca_system_score_gemma":0.000524606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004778193,"about_ca_topic_score_gemma":0.03940837,"domain_scores_codex":[0.9981351,0.0006364472,0.0003163862,0.0002149193,0.000438606,0.0002585597],"domain_scores_gemma":[0.9883247,0.01035374,0.00009525983,0.0004033608,0.0006840958,0.0001388701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00311658,0.0005378627,0.1689472,0.004526249,0.0013406,0.00004002928,0.2423028,0.4715733,0.04757183,0.02988734,0.01980932,0.01034691],"study_design_scores_gemma":[0.001284892,0.0001823319,0.3345244,0.0001536683,0.0003424987,0.00001611497,0.01257225,0.0563545,0.002177751,0.0004661595,0.5916414,0.0002841341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7120805,0.0008534305,0.05410751,0.2303532,0.00009788311,0.001939243,0.0003559779,0.0001861353,0.00002613799],"genre_scores_gemma":[0.9930373,0.0004586276,0.0005899361,0.005028069,0.0001102633,0.0004069496,0.0002588216,0.00001976674,0.00009026012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.571832,"threshold_uncertainty_score":0.9781199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6210030759530426,"score_gpt":0.4669740510726128,"score_spread":0.1540290248804299,"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."}}