{"id":"W2918340046","doi":"10.1155/2019/9723042","title":"Distributed <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> Control of AVs Interacting by Uncertain and Switching Topology in a Platoon","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; State Key Laboratory of Vehicle NVH and Safety Technology","keywords":"Algorithm; Computer science; Platoon; Artificial intelligence; Topology (electrical circuits); Mathematics; Combinatorics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00108532,0.0004384484,0.0002750433,0.0004275563,0.0003569589,0.0003266523,0.0007461166,0.000821876,0.1804188],"category_scores_gemma":[0.0005004258,0.0008418378,0.0007536648,0.0005585992,0.000304556,0.001404654,0.0001493507,0.001123569,0.0001134318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001516897,"about_ca_system_score_gemma":0.0003736459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006725368,"about_ca_topic_score_gemma":0.002443873,"domain_scores_codex":[0.9953085,0.0001572277,0.001585737,0.0006955092,0.001120872,0.001132117],"domain_scores_gemma":[0.9962955,0.0009436184,0.001500271,0.0007034371,0.0001095619,0.0004476771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008445424,0.0006629452,0.0002830879,0.004447884,0.00472393,0.003398224,0.01216583,0.3439688,0.06083335,0.3500924,0.1853762,0.02560186],"study_design_scores_gemma":[0.0044746,0.001398349,0.001473198,0.00135124,0.0009641608,0.0004897325,0.003965045,0.03741871,0.9453859,0.0000867614,0.002035003,0.0009572532],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8439263,0.001126924,0.006494917,0.0004835052,0.001891608,0.00003685512,0.000145968,0.0001139807,0.14578],"genre_scores_gemma":[0.995661,0.0007235227,0.001528639,0.0004041868,0.0005338889,0.0002514627,0.0005562408,0.0002898052,0.00005132177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8845526,"threshold_uncertainty_score":0.9994032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007890553167377542,"score_gpt":0.2211458388794726,"score_spread":0.213255285712095,"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."}}