{"id":"W2999369501","doi":"10.1155/2020/5379218","title":"Analysis of a Flexible Transit Network in a Radial Street Pattern","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Transit (satellite); Traverse; Transit system; Computer science; Grid; Grid network; Service (business); Hinge; Public transport; Simulation; Mathematical optimization; Topology (electrical circuits); Transport engineering; Engineering; Mathematics; Structural engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003624525,0.0006265339,0.0003901775,0.0006495047,0.0004233719,0.0007357141,0.0008484728,0.0008640334,0.002778797],"category_scores_gemma":[0.001290741,0.0002933211,0.0007389615,0.0007816554,0.0006828276,0.0008642754,0.0005459379,0.0005361581,0.000247006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011903,"about_ca_system_score_gemma":0.0006053397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616225,"about_ca_topic_score_gemma":0.007560296,"domain_scores_codex":[0.9997705,0.00006367253,0.000006232519,0.00005981099,0.0000408653,0.00005901329],"domain_scores_gemma":[0.9996415,0.0001189513,0.00008695576,0.00002692269,0.00008743524,0.0000381063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002659664,0.000007659729,0.0005278529,0.00001716186,0.000007696106,0.0001158148,0.00001627081,0.9884642,0.00102322,0.007409964,0.0002146341,0.002168861],"study_design_scores_gemma":[0.000001893172,0.00001075294,0.0001930978,0.000001910435,0.000003509762,0.00002490813,0.00001455913,0.9982382,0.0001057137,0.001241345,0.0001614972,0.000002650748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3463739,0.0005768006,0.6361081,0.0003992456,0.00004499545,0.0001079593,0.0005057607,0.000237725,0.01564552],"genre_scores_gemma":[0.9814103,0.0002799066,0.01432505,0.00002121987,0.00001110579,0.00004203614,0.0001358704,0.00002997245,0.003744628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01616225,"threshold_uncertainty_score":0.03213632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691539084953963,"score_gpt":0.2830353540869504,"score_spread":0.2661199632374108,"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."}}