{"id":"W2171021224","doi":"10.1016/j.jtrangeo.2009.09.013","title":"Distance traveled in three Canadian cities: Spatial analysis from the perspective of vulnerable population segments","year":2009,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":193,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McMaster University; Polytechnique Montréal","funders":"","keywords":"Perspective (graphical); Geography; Mainstream; Population; Travel behavior; Economic geography; Regional science; Sociology; Transport engineering; Demography; Computer science; Political science; Engineering","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":[0.0006885057,0.000540467,0.0006002894,0.005001335,0.005152181,0.003298897,0.002133313,0.0007771057,0.002721801],"category_scores_gemma":[0.002873114,0.0004070583,0.001406003,0.01647565,0.001616032,0.0009289586,0.002644886,0.0009140892,0.0002606381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03279202,"about_ca_system_score_gemma":0.02766747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945011,"about_ca_topic_score_gemma":0.9968961,"domain_scores_codex":[0.9989504,0.0001077133,0.00005181062,0.0001151494,0.0002914608,0.0004834541],"domain_scores_gemma":[0.9981217,0.0002009488,0.0002388239,0.00006119552,0.0009692886,0.0004080851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003552748,0.00009547457,0.9594539,0.000132599,0.0002120783,0.0003559919,0.01733125,0.002595546,0.0004204745,0.00247911,0.00227725,0.01429108],"study_design_scores_gemma":[0.000005859249,0.00002638993,0.9697733,0.00004330324,0.00006071516,0.00006710456,0.02678705,0.001409618,0.00006196534,0.0001738513,0.001550124,0.00004065291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954509,0.0002801834,0.0001305155,0.0001360866,0.000004078717,0.00002986822,0.001881514,0.000006601434,0.002080383],"genre_scores_gemma":[0.9978549,0.0002767191,0.0002024246,0.00001914334,0.000002281247,0.00002502269,0.001058445,0.000005161882,0.0005558426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03279202,"threshold_uncertainty_score":0.2379239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022940955658829,"score_gpt":0.2613336095769334,"score_spread":0.2511042000203451,"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."}}