{"id":"W611646440","doi":"","title":"Exploring transit ridership drivers in Toronto and Melbourne","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transport engineering; Transit (satellite); Stock (firearms); Car ownership; Public transport; Business; Rail transit; Transit system; Geography; 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":[0.0003163503,0.0001601486,0.0001624844,0.00146823,0.001165098,0.000819706,0.0002838861,0.0002404326,0.002209564],"category_scores_gemma":[0.001324793,0.0001491365,0.0002367212,0.002087386,0.0003903928,0.0006092205,0.0009504501,0.0002093295,0.0001482802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004534443,"about_ca_system_score_gemma":0.001565645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7631208,"about_ca_topic_score_gemma":0.8918737,"domain_scores_codex":[0.9996744,0.00007060792,0.00001850374,0.00004262958,0.00008764976,0.0001063273],"domain_scores_gemma":[0.9992473,0.0001071172,0.0002115128,0.00002200399,0.0002007201,0.000211316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001844122,0.00004937604,0.9581396,0.00006802187,0.00005232895,0.0004581558,0.03036357,0.0004074503,0.001376564,0.0005407071,0.0005818816,0.00777792],"study_design_scores_gemma":[0.000001741374,0.0000428184,0.9815692,0.00001255951,0.0000121654,0.0000776505,0.01710638,0.0002888199,0.000109475,0.00001540278,0.000756312,0.000007499938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989065,0.00006179778,0.00002737536,0.00003132494,0.000001183829,0.000005180426,0.0002039884,0.000001086935,0.0007614705],"genre_scores_gemma":[0.9992062,0.00006635378,0.00003839929,0.000004884581,0.000001233822,0.000004777125,0.0001652206,7.610589e-7,0.0005121583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2368792,"threshold_uncertainty_score":0.4765485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1621782986676654,"score_gpt":0.423947215971653,"score_spread":0.2617689173039875,"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."}}