{"id":"W2560987797","doi":"10.1002/atr.1433","title":"Integrated optimization of bus priority operations in connected vehicle environment","year":2016,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Bus priority; Intersection (aeronautics); Dwell time; SIGNAL (programming language); Transit (satellite); Local bus; Computer science; Real-time computing; Control bus; Automotive engineering; Engineering; System bus; Transport engineering; Public transport; Computer hardware","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":[0.0003588662,0.00007403336,0.0001709813,0.000179327,0.00007465977,0.000008666609,0.00008471458,0.00007335746,0.0001276229],"category_scores_gemma":[0.0001089913,0.00005907018,0.0000519534,0.0003075325,0.00008077658,0.0007051066,4.272459e-7,0.00008040736,0.000001043901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037398,"about_ca_system_score_gemma":0.000170354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000129921,"about_ca_topic_score_gemma":0.00113316,"domain_scores_codex":[0.9987509,0.0000931845,0.0006355923,0.00009722637,0.0003081204,0.0001150406],"domain_scores_gemma":[0.9991713,0.00009383141,0.000312351,0.00005855693,0.000303102,0.00006082561],"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":[0.000142473,0.00009434454,0.01713312,0.000006348901,0.0000105137,0.000004789737,0.007468911,0.9628666,0.007033471,0.001349336,0.000005093249,0.00388499],"study_design_scores_gemma":[0.007923855,0.0005227528,0.9621596,0.0007366904,0.0001286351,0.000001856721,0.011544,0.003785852,0.008241577,0.0007787533,0.003740078,0.0004362915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7919528,0.00006474599,0.2068579,0.000698175,0.0001629989,0.000156901,0.00002526024,0.00001478765,0.00006640077],"genre_scores_gemma":[0.9652535,0.0007283273,0.03387985,0.00001557644,0.00002860158,0.000003465991,0.00003824948,0.000007512701,0.00004494286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9590808,"threshold_uncertainty_score":0.2408812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034651171428723,"score_gpt":0.2587523232639675,"score_spread":0.2484058115496803,"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."}}