{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006490696,0.0001538939,0.0003704701,0.00005655133,0.0003065944,0.0001529665,0.0001799297,0.0001470641,0.0002769428],"category_scores_gemma":[0.0000159322,0.0001175062,0.0002085809,0.000247296,0.0001366547,0.0005679628,0.000001928819,0.0003268001,4.046196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002241384,"about_ca_system_score_gemma":0.0003763955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005164384,"about_ca_topic_score_gemma":0.004079505,"domain_scores_codex":[0.9985625,0.00009961021,0.0003820951,0.0001881018,0.0004196062,0.0003481569],"domain_scores_gemma":[0.9992098,0.0001182338,0.0001157952,0.000126242,0.000188035,0.0002418849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001264835,0.00009607001,0.9946464,0.00004268255,0.00006189768,0.0008164059,0.002382443,0.0001506335,0.00008822243,0.0004125123,0.0001243435,0.001051857],"study_design_scores_gemma":[0.001486292,0.00008465814,0.9686121,0.000328851,0.0002150134,0.000008619281,0.0005093141,0.000006958359,0.0001249109,0.002274124,0.0261131,0.0002360691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856928,0.006797669,0.00208318,0.004605297,0.0003848221,0.00008016598,0.00002695965,0.00002135693,0.0003077581],"genre_scores_gemma":[0.9965339,0.001585249,0.0008519104,0.0001547386,0.0005949716,0.000001247571,0.00001118997,0.000013257,0.0002535734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02603436,"threshold_uncertainty_score":0.4791762,"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."}}