{"id":"W4321327092","doi":"10.1155/2023/5725009","title":"Hierarchical Vehicle Scheduling Research on Tide Bicycle-Sharing Traffic of Autonomous Transportation Systems","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Beijing; Public transport; Scheduling (production processes); Computer science; Transport engineering; Operations research; Real-time computing; Engineering","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":[0.0007830912,0.0001637783,0.0003371309,0.0009562431,0.00009871193,0.00002240535,0.0001928148,0.0001188993,0.00001345475],"category_scores_gemma":[0.00004394566,0.0001702079,0.0001498735,0.001589598,0.00006693462,0.0004295219,5.896909e-7,0.0005976919,0.00001123799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016981,"about_ca_system_score_gemma":0.00008059927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001011169,"about_ca_topic_score_gemma":0.00009180082,"domain_scores_codex":[0.9975274,0.00003344142,0.001258837,0.0001889826,0.0006835907,0.000307723],"domain_scores_gemma":[0.9985877,0.0001953252,0.0002241103,0.0001833011,0.0006932703,0.0001162877],"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":[0.0001224621,0.00007019449,0.001080614,0.0002536231,0.00005883443,0.00002538746,0.002970931,0.9596152,0.02983614,0.002839737,0.00002850195,0.003098357],"study_design_scores_gemma":[0.003527785,0.0007444034,0.8831162,0.001096716,0.0001337541,0.000004914962,0.006772541,0.08641854,0.01475304,0.001026183,0.001891547,0.0005144069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951606,0.000108469,0.00319559,0.00009811186,0.000783682,0.0002795872,0.00008605196,0.0001960339,0.00009190903],"genre_scores_gemma":[0.9978406,0.0001486981,0.00156781,0.00000823673,0.0001252446,0.00002306301,0.0002132325,0.00004650623,0.00002655524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8820356,"threshold_uncertainty_score":0.6940875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360663119657123,"score_gpt":0.3238466036265323,"score_spread":0.2802399724299611,"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."}}