{"id":"W4384788896","doi":"10.1016/bs.atpp.2023.07.005","title":"Examining the impacts of the COVID-19 pandemic on ride-sourcing services: Findings from a literature review and case study","year":2023,"lang":"en","type":"review","venue":"Advances in transport policy and planning","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Business; TRIPS architecture; Paratransit; Perception; Risk perception; Marketing; Public transport; Coronavirus disease 2019 (COVID-19); Empirical evidence; Psychology; Engineering; Transport engineering; Infectious disease (medical specialty); Medicine","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":[0.004299765,0.0009368726,0.001760357,0.006863157,0.0005126056,0.002924843,0.0009728367,0.001803424,0.004154399],"category_scores_gemma":[0.01380708,0.000389646,0.001536769,0.01369337,0.0005986331,0.002040115,0.001283388,0.001344148,0.0004963336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002886966,"about_ca_system_score_gemma":0.01189642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01886888,"about_ca_topic_score_gemma":0.04410382,"domain_scores_codex":[0.9977792,0.0007312553,0.0004421691,0.0002047792,0.000666251,0.0001764405],"domain_scores_gemma":[0.9891049,0.008200619,0.001057054,0.00009996947,0.001394194,0.0001431619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001427464,0.00009021043,0.002342083,0.3846686,0.001014226,0.0005444293,0.001151407,0.0007975615,0.0005059351,0.007353554,0.01826547,0.5831239],"study_design_scores_gemma":[0.00004193307,0.0002269166,0.01372419,0.451408,0.004541332,0.001087128,0.005324897,0.0003116283,0.0006862578,0.002114401,0.5204412,0.00009207624],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007317131,0.9971981,0.00006773012,0.0006512073,0.00009625326,0.00002406375,0.0001144845,0.000002154305,0.001114304],"genre_scores_gemma":[0.004479258,0.9949676,0.0001367985,0.000245691,0.00003358939,0.00001376046,0.00004876584,0.000001232582,0.0000732959],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01886888,"threshold_uncertainty_score":0.03751814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07878559951261843,"score_gpt":0.3835433125470603,"score_spread":0.3047577130344418,"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."}}