{"id":"W7099222893","doi":"","title":"MOTIVATORS AND BARRIERS TO UTILITARIAN CYCLING IN DOWNTOWN TORONTO","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cycling; Downtown; Work (physics); Journey to work; Traverse; Behaviour change","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0003283738,0.0002473779,0.0002450777,0.000576259,0.00254091,0.001628291,0.0006461359,0.0004218666,0.006430862],"category_scores_gemma":[0.001693166,0.0002664756,0.0003919226,0.001120612,0.0009387316,0.0003544193,0.001547937,0.0005810701,0.0002571672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01175488,"about_ca_system_score_gemma":0.01276075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9477887,"about_ca_topic_score_gemma":0.9859663,"domain_scores_codex":[0.9996234,0.00005368901,0.00002730536,0.00004321095,0.00007520099,0.0001772141],"domain_scores_gemma":[0.9986406,0.0001552849,0.0002677809,0.00002769908,0.0002414863,0.0006672187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009712639,0.0001123444,0.9595065,0.0001039131,0.00003294832,0.0004800973,0.02911006,0.0001526345,0.0005872486,0.0006701957,0.002501847,0.006645203],"study_design_scores_gemma":[0.00000628621,0.00004391418,0.9499171,0.0001166257,0.00002304627,0.00006978759,0.04714118,0.0002049069,0.00005868488,0.00006240779,0.002339924,0.00001612755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972585,0.0001660886,0.0000261777,0.0004034306,0.000009831271,0.00001843216,0.000226728,0.000002641498,0.001888072],"genre_scores_gemma":[0.9973027,0.0002571229,0.00005583949,0.00006102332,0.000005007839,0.00001764682,0.0001540514,0.000003295006,0.002143386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05221128,"threshold_uncertainty_score":0.1050375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059738313647121,"score_gpt":0.2845870003041931,"score_spread":0.273989617167722,"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."}}