{"id":"W4387631280","doi":"10.1016/j.tbs.2023.100690","title":"A behavioural analysis of post-pandemic modality profiles for non-commuting trips in the greater Toronto Area","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; TRIPS architecture; Multinomial logistic regression; Descriptive statistics; Demographic economics; Paratransit; Psychological resilience; Coronavirus disease 2019 (COVID-19); Business; Public transport; Geography; Psychology; Socioeconomics; Economics; Transport engineering; Medicine; Social psychology; Engineering; Computer science","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":[0.0003407916,0.0002319238,0.0001740675,0.001142332,0.0008970227,0.0008227704,0.0003489725,0.0003562474,0.001937001],"category_scores_gemma":[0.001524708,0.0001554847,0.0004203433,0.002228906,0.0002862001,0.0003460837,0.0006194427,0.0003096012,0.0002817922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00320829,"about_ca_system_score_gemma":0.002160092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.772625,"about_ca_topic_score_gemma":0.8655499,"domain_scores_codex":[0.9997306,0.00006530577,0.00002105754,0.00004392218,0.00005352856,0.00008551424],"domain_scores_gemma":[0.9991878,0.0001302769,0.000183425,0.00004090412,0.0002907634,0.0001668022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001441592,0.00006063603,0.9838325,0.00004344166,0.00006654333,0.0001103589,0.00945888,0.0002994977,0.001385893,0.00007254691,0.0004009468,0.004124501],"study_design_scores_gemma":[6.531848e-7,0.00003131395,0.9963605,0.000004976155,0.000006600463,0.0000192985,0.003185894,0.0001763471,0.00004042063,0.000004057889,0.0001663167,0.000003714903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988927,0.00002323034,0.00004957682,0.00001752513,8.321127e-7,0.00001790164,0.0006895869,0.000001925605,0.0003067892],"genre_scores_gemma":[0.9985297,0.00004321681,0.00009783238,0.000009190698,0.000001405382,0.00001894535,0.0007849145,0.00000161509,0.000513202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.227375,"threshold_uncertainty_score":0.4574282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0722541332858057,"score_gpt":0.3420761952117192,"score_spread":0.2698220619259135,"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."}}