{"id":"W4361296726","doi":"10.31219/osf.io/dk2mb","title":"Car dependency in the urban margins: the influence of perceived accessibility on mode choice","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Agencia Nacional de Investigación y Desarrollo; Centro de Desarrollo Urbano Sustentable","keywords":"Metropolitan area; Public transport; Perception; Mode choice; Vulnerability (computing); Mode (computer interface); Dependency (UML); Business; Geography; Order (exchange); Transport engineering; Poverty; Demographic economics; Psychology; Economic growth; Economics; Computer science; Engineering; Computer security","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":[0.000617408,0.000168045,0.0001804337,0.0005207165,0.0004266245,0.001181736,0.0002257108,0.0002673196,0.004256454],"category_scores_gemma":[0.003825454,0.0001068915,0.0003626336,0.0004925975,0.0007070487,0.0005065442,0.0012334,0.000415203,0.0001761695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004097104,"about_ca_system_score_gemma":0.0003406454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206283,"about_ca_topic_score_gemma":0.01153624,"domain_scores_codex":[0.9993982,0.0002946934,0.00002794315,0.0000722798,0.0001029283,0.0001038865],"domain_scores_gemma":[0.9969243,0.001405121,0.0006838341,0.000140952,0.0002594876,0.0005863259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001756429,0.0002094412,0.9864456,0.00003220492,0.00007124539,0.0001916417,0.006149861,0.0002678595,0.0006193542,0.0005035775,0.0001155811,0.005217997],"study_design_scores_gemma":[0.000002683343,0.00005623575,0.9921445,0.00001471709,0.00001654396,0.00003754137,0.006698236,0.0004391382,0.00008081352,0.0002167809,0.0002870969,0.000005621539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998476,0.0000470126,0.0001044445,0.00004168328,0.000001584035,0.000003678184,0.00002870689,8.3251e-7,0.001296059],"genre_scores_gemma":[0.9998198,0.00001709136,0.00002118362,0.000003263876,8.446564e-7,0.00000161756,0.00001172811,6.04612e-7,0.0001239082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206283,"threshold_uncertainty_score":0.02398527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05724201510005041,"score_gpt":0.3636100900294801,"score_spread":0.3063680749294297,"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."}}