{"id":"W4220706800","doi":"10.1155/2022/5773362","title":"Optimization of Bus Rerouting to Alleviate the Impact of Rail Transit Construction","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; Henan Provincial Department of Transportation; Government of Jiangsu Province; U.S. Department of Transportation","keywords":"Transport engineering; Urban rail transit; Rail transit; Scheme (mathematics); Service (business); Bus rapid transit; Transit (satellite); Engineering; Service level; Local bus; Public transport; Duration (music); Line (geometry); Computer science; Control bus; System bus","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007961727,0.0000821717,0.0002162737,0.0001869446,0.000300675,0.000009168635,0.000154391,0.00003468728,0.0001395549],"category_scores_gemma":[0.00006323119,0.00006912502,0.0001814552,0.000696708,0.00007710204,0.0003492319,9.709535e-7,0.0001556556,1.333923e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008940717,"about_ca_system_score_gemma":0.0002435446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002648257,"about_ca_topic_score_gemma":0.0001186261,"domain_scores_codex":[0.9983485,0.0001522475,0.0007392177,0.00009101906,0.0005442163,0.0001247467],"domain_scores_gemma":[0.9982611,0.0001042143,0.0009915984,0.00007377797,0.0005084696,0.00006086854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000378373,0.00004558923,0.004698575,0.0000104309,0.00004181193,0.000001883537,0.03859778,0.9516421,0.001264943,0.0009169763,0.00001863125,0.00238291],"study_design_scores_gemma":[0.007116852,0.003430605,0.8015046,0.000445401,0.0006896261,0.00003170112,0.1695277,0.008605944,0.003521785,0.002465245,0.00190916,0.0007514595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.806984,0.0001007126,0.1915732,0.0005167139,0.0003302581,0.0002518812,0.00005628712,0.00001434629,0.0001725307],"genre_scores_gemma":[0.9779768,0.0001164224,0.02176825,0.00001849207,0.00004324066,0.00000459011,0.00004350341,0.000009876093,0.00001882176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9430361,"threshold_uncertainty_score":0.2818837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234598756149841,"score_gpt":0.2954182776381713,"score_spread":0.2830722900766729,"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."}}