{"id":"W3189650652","doi":"10.5198/jtlu.2021.1742","title":"Planning a high-frequency transfer-based bus network: How do we get there?","year":2021,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Transport engineering; Public transport; Transit (satellite); Process (computing); Bus network; Network planning and design; Transportation planning; Transfer (computing); Grid; Service (business); Bus rapid transit; Computer science; Telecommunications; Engineering; Business; System bus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005315275,0.001066414,0.0006150845,0.001839347,0.005728611,0.009965098,0.003643497,0.002709711,0.008008292],"category_scores_gemma":[0.01440169,0.000710033,0.0005921064,0.004042366,0.004266765,0.008430666,0.002521737,0.00342795,0.001961729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02901054,"about_ca_system_score_gemma":0.06578082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.705193,"about_ca_topic_score_gemma":0.8192233,"domain_scores_codex":[0.9955909,0.00183645,0.0001104106,0.0003695523,0.001138958,0.000953682],"domain_scores_gemma":[0.9926742,0.001321973,0.0005281969,0.0002702684,0.003240066,0.001965342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009189645,0.0005913106,0.04691175,0.002244041,0.000157668,0.001004949,0.02053782,0.08510227,0.001386913,0.0712892,0.1367159,0.6339662],"study_design_scores_gemma":[0.0001280682,0.0005444305,0.04008677,0.005066094,0.0002586487,0.0004813553,0.1931373,0.09330838,0.002998283,0.09707642,0.5664696,0.000444645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.138606,0.02318165,0.2259486,0.4243139,0.001322427,0.002072788,0.002262968,0.001921218,0.1803705],"genre_scores_gemma":[0.6824551,0.02934621,0.2522952,0.008214436,0.0002437676,0.0006371984,0.001680363,0.0004585805,0.02466924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.705193,"threshold_uncertainty_score":0.5930862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489051448381002,"score_gpt":0.275083197224139,"score_spread":0.240192682740329,"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."}}