{"id":"W1971199277","doi":"10.3141/2247-13","title":"Much-Anticipated Marriage of Cycling and Transit","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Cycling; Public transport; Transport engineering; Transit (satellite); TRIPS architecture; Sustainable transport; Rail transit; Economic shortage; Metropolitan area; Travel behavior; Business; Sustainability; Engineering; Geography; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008201935,0.0002089341,0.0005341145,0.0007999029,0.0009294407,0.0000745841,0.001115871,0.0002516486,0.000944534],"category_scores_gemma":[0.0002188757,0.0001625213,0.0003770237,0.002114691,0.002272698,0.0008940918,0.000004971198,0.001640135,0.00000543904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030328,"about_ca_system_score_gemma":0.0007648905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0818757,"about_ca_topic_score_gemma":0.2117588,"domain_scores_codex":[0.992175,0.001631667,0.00159565,0.0003894198,0.003318686,0.0008896151],"domain_scores_gemma":[0.994607,0.0007896759,0.0005224579,0.0003854859,0.003210348,0.0004850496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001277009,0.0003390165,0.9362906,0.0002516975,0.0001291582,0.00006777571,0.04888514,0.0000168581,0.003268724,0.005066311,0.0003191995,0.004088525],"study_design_scores_gemma":[0.00104942,0.0003205543,0.9735207,0.0002844853,0.00008509666,8.451929e-8,0.01060654,0.00001386006,0.003992848,0.008232757,0.001731703,0.0001619563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953408,0.0002687723,0.0006174892,0.001021669,0.0003654158,0.0008226064,0.00004982279,0.00002581241,0.001487645],"genre_scores_gemma":[0.9968629,0.001045908,0.001453477,0.00002048341,0.0001289799,0.0000212559,0.000006254823,0.00003421964,0.0004265262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1298831,"threshold_uncertainty_score":0.9999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2203617764968241,"score_gpt":0.4350835690250229,"score_spread":0.2147217925281988,"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."}}