{"id":"W2740049762","doi":"","title":"School Travel Mode Choice Behaviour in Toronto, Canada","year":2013,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; University of Toronto; Social Sciences and Humanities Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Mode choice; Transport engineering; Travel behavior; Mode (computer interface); Geography; Engineering; Computer science; Public transport; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005319714,0.0002874235,0.0003423363,0.001377608,0.003962568,0.001490307,0.0006969755,0.0002800296,0.00457833],"category_scores_gemma":[0.001265693,0.0002956892,0.0004809386,0.004474977,0.0005576517,0.0003833409,0.0006863853,0.0005260888,0.0003895106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.052123,"about_ca_system_score_gemma":0.04827311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984967,"about_ca_topic_score_gemma":0.9995655,"domain_scores_codex":[0.9994054,0.00005192942,0.00003647529,0.00008808455,0.0002251436,0.000193003],"domain_scores_gemma":[0.9985887,0.00009271227,0.000186046,0.00003489266,0.0006398074,0.0004576978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009786928,0.00008620821,0.9483575,0.0002161505,0.00005233901,0.0003554958,0.01868583,0.0004452874,0.0005605555,0.001014891,0.009425282,0.02070265],"study_design_scores_gemma":[0.000004617237,0.00003224878,0.9843061,0.00007079346,0.00001220309,0.00004659146,0.010656,0.000368192,0.00007946893,0.00003415948,0.004370661,0.00001903858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850318,0.001073734,0.0001500486,0.0006195155,0.00002093205,0.00008212966,0.005969795,0.00002513006,0.007026997],"genre_scores_gemma":[0.9899753,0.001045078,0.0003729567,0.0001009356,0.000005728506,0.00004322291,0.001891086,0.000009773703,0.006555954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.052123,"threshold_uncertainty_score":0.3781806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009775790463244761,"score_gpt":0.2659134695864435,"score_spread":0.2561376791231987,"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."}}