{"id":"W4375945567","doi":"10.1155/2023/9390468","title":"Physical Architecture Simulation Based on System Dynamics Modelling for an Autonomous Transportation System Scenario","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Architecture; Systems architecture; Intelligent transportation system; Computer science; Systems engineering; Advanced Traffic Management System; Simulation; Autonomous system (mathematics); Engineering; Transport engineering; Artificial intelligence","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":[0.0003173239,0.0005231305,0.0003912963,0.0005678957,0.0006276446,0.0007703155,0.0005775996,0.0008802942,0.004086309],"category_scores_gemma":[0.0006841893,0.0002588866,0.0008069686,0.0004351402,0.0004011601,0.0009225127,0.0006333173,0.0007256254,0.0002526982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00075648,"about_ca_system_score_gemma":0.001276172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121302,"about_ca_topic_score_gemma":0.01370217,"domain_scores_codex":[0.9998143,0.00007023369,0.000009259966,0.00002724382,0.00004425395,0.00003464434],"domain_scores_gemma":[0.9997227,0.0001415284,0.00003025092,0.00002364198,0.00005896209,0.00002293337],"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":[0.00001585871,0.0000167103,0.0006793572,0.00002079636,0.00000825767,0.0000620526,0.00006227611,0.9911706,0.0007382688,0.005410687,0.0001589586,0.001656214],"study_design_scores_gemma":[0.000006389699,0.00001214405,0.0002015121,0.000003948856,0.000004654265,0.000007830503,0.00002818523,0.9977259,0.0001659294,0.001176258,0.0006633498,0.000003915276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4430385,0.0004064949,0.493179,0.0007855298,0.0001329795,0.000318537,0.001027785,0.0009021045,0.06020914],"genre_scores_gemma":[0.9691956,0.0002198323,0.02625141,0.00002447189,0.00001034298,0.000195418,0.0003217446,0.00004106627,0.00374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02121302,"threshold_uncertainty_score":0.04217911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008891833888241989,"score_gpt":0.2242650381227346,"score_spread":0.2153732042344926,"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."}}