{"id":"W4324146639","doi":"10.1177/03611981231155434","title":"How Has Anticipated Post-Pandemic Ride-Sourcing Use Changed During the COVID-19 Pandemic? Evidence from a Two-Cycle Survey of the Greater Toronto Area","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Pandemic; Business; Coronavirus disease 2019 (COVID-19); Paratransit; Survey data collection; Marketing; Service (business); Medicine; Infectious disease (medical specialty)","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":[0.001078864,0.0002598178,0.00025246,0.0007114572,0.0007594675,0.001148417,0.0006241186,0.0006965051,0.001304134],"category_scores_gemma":[0.004493665,0.000291267,0.0004581026,0.002072974,0.0005379571,0.0007788175,0.000868849,0.0007447873,0.0002786535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003988886,"about_ca_system_score_gemma":0.002722107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7069352,"about_ca_topic_score_gemma":0.8022338,"domain_scores_codex":[0.9991482,0.0002496257,0.0000828638,0.0001291751,0.0001864391,0.0002036383],"domain_scores_gemma":[0.9960044,0.0006689934,0.001583691,0.0001979982,0.0008946683,0.0006503378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003998417,0.0000223242,0.993098,0.0000493531,0.0000443393,0.00005520457,0.00444008,0.00005885357,0.000129168,0.00003238854,0.0004003207,0.00163009],"study_design_scores_gemma":[8.705837e-7,0.0000208503,0.9954079,0.0000155491,0.000007106639,0.00001031756,0.004150342,0.0000682802,0.00002028602,0.000003696815,0.0002912462,0.000003686939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969943,0.0001782455,0.00005207935,0.0002606825,0.000006214489,0.00002267394,0.001805647,0.000002142799,0.0006780057],"genre_scores_gemma":[0.998225,0.0002534278,0.0000724065,0.00007045191,0.000006468432,0.0000244016,0.001061646,0.000001657626,0.0002845398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2930648,"threshold_uncertainty_score":0.5895815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4334077726430426,"score_gpt":0.4571213123936928,"score_spread":0.02371353975065021,"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."}}