{"id":"W4396749536","doi":"10.1155/2024/6446235","title":"An Optimization Strategy for Truncating Ultralong Bus Lines Integrated with Metro Networks","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Transport engineering; Engineering; Operations research","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":[0.0005818213,0.0008650924,0.000802896,0.0004971604,0.0004555871,0.0007399385,0.001121134,0.0006215874,0.002234996],"category_scores_gemma":[0.0008733653,0.0003825367,0.000474254,0.0005760204,0.000356149,0.001001953,0.0009581202,0.0005694478,0.0002682216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931224,"about_ca_system_score_gemma":0.00106057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006531157,"about_ca_topic_score_gemma":0.005889902,"domain_scores_codex":[0.9997186,0.00008118759,0.00001220261,0.00006494561,0.00006125089,0.00006186082],"domain_scores_gemma":[0.9996861,0.00008636821,0.00007705836,0.00002461944,0.00006922694,0.00005657234],"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":[0.0000585439,0.00004777193,0.0006751097,0.00003100845,0.00001963258,0.0000803182,0.00003857997,0.9743041,0.002568328,0.002953553,0.0003906502,0.01883247],"study_design_scores_gemma":[0.000005687182,0.00005736504,0.0001979976,0.000004338136,0.000008563313,0.00001209573,0.00002631274,0.9978687,0.000407267,0.001053586,0.0003549692,0.000003183549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1287429,0.0002654282,0.864608,0.0001249918,0.00002529375,0.00008244877,0.00006453617,0.000244603,0.005841803],"genre_scores_gemma":[0.9120349,0.0001693573,0.08366884,0.00004842209,0.00001567523,0.0001217883,0.0001091463,0.00004772669,0.003784258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006531157,"threshold_uncertainty_score":0.01298624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560740484731135,"score_gpt":0.3114148530560257,"score_spread":0.2958074482087143,"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."}}