{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007913298,0.0008769179,0.0008661101,0.0004634932,0.0007281739,0.001240855,0.002580784,0.0007593648,0.008289991],"category_scores_gemma":[0.001096058,0.0003295028,0.000684504,0.0004886381,0.0007055074,0.001038086,0.001439363,0.001153273,0.001418465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009437532,"about_ca_system_score_gemma":0.001038659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007238552,"about_ca_topic_score_gemma":0.00751276,"domain_scores_codex":[0.99921,0.0001236243,0.00004984544,0.0002261451,0.0003209245,0.00006952284],"domain_scores_gemma":[0.9994096,0.0001777299,0.00005336591,0.0001472581,0.0001676092,0.00004450091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002253072,0.0002359115,0.0004573142,0.0002619772,0.0000692856,0.0002115024,0.0004081612,0.4489152,0.02578263,0.06291832,0.01002229,0.4504921],"study_design_scores_gemma":[0.00005853316,0.00006524325,0.00007546259,0.00001071803,0.00001071299,0.00004589442,0.00003048019,0.9777235,0.003896815,0.008666892,0.009403436,0.00001227081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001391364,0.0000578354,0.9953961,0.00006435419,0.00004337421,0.00004552311,0.00002011368,0.0005789839,0.00240222],"genre_scores_gemma":[0.3868585,0.0004167568,0.5885261,0.0002063612,0.0001917339,0.0005133623,0.000263295,0.0004452812,0.02257865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008289991,"threshold_uncertainty_score":0.02773279,"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."}}