{"id":"W2201821491","doi":"10.1139/cjce-2014-0493","title":"Effects of accessibility to the transit stations on intercity travel mode choices in contexts of high speed rail in the Windsor–Quebec corridor in Canada","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sample (material); Mode choice; Transport engineering; Travel behavior; Population; Revealed preference; Data collection; Geography; Mode (computer interface); Computer science; Transit (satellite); Discrete choice; Geocoding; Windsor; Public transport; Engineering; Statistics; Econometrics; Economics; Mathematics; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008475626,0.0003430543,0.0004039659,0.0007810583,0.003978752,0.001998595,0.0008368858,0.000440626,0.004185888],"category_scores_gemma":[0.002709528,0.0001924894,0.0007600163,0.001666698,0.001462175,0.000552242,0.001294296,0.0009189782,0.0002297118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01835343,"about_ca_system_score_gemma":0.01863222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9874517,"about_ca_topic_score_gemma":0.9960911,"domain_scores_codex":[0.9988025,0.000288764,0.00003873185,0.0001912352,0.0002303846,0.0004483495],"domain_scores_gemma":[0.996832,0.0006098681,0.0004561355,0.0001117772,0.0009750221,0.001015181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002136044,0.0001812127,0.977838,0.00006161126,0.00009298597,0.0003764786,0.01042658,0.0006711611,0.0004795305,0.0007464521,0.001387184,0.007525262],"study_design_scores_gemma":[0.000004940122,0.00004336296,0.9764078,0.00004774977,0.00003157564,0.00002520675,0.02117167,0.0009002756,0.00005338249,0.00007764477,0.001216013,0.00002051095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976214,0.0001235771,0.00007618378,0.0001545306,0.000005197282,0.00001298598,0.0002916835,0.000002225207,0.001712254],"genre_scores_gemma":[0.9984706,0.0001046371,0.000104074,0.00002654422,0.000001635362,0.00001063319,0.0001904147,0.000002544036,0.001088904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01835343,"threshold_uncertainty_score":0.1331641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350973097196742,"score_gpt":0.1939179589311888,"score_spread":0.1604082279592214,"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."}}