{"id":"W3091596423","doi":"10.1109/ccta41146.2020.9206345","title":"Vehicle Platoon String Stability: Network Passivity Approach","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Traffic control and management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Platoon; Passivity; Interconnection; Control theory (sociology); Network topology; Topology (electrical circuits); Cascade; Computer science; String (physics); Stability (learning theory); Control engineering; Engineering; Mathematics; Control (management); Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005015568,0.0006458829,0.0004260336,0.0006717712,0.0003573111,0.0009669831,0.0004825559,0.000533833,0.002690926],"category_scores_gemma":[0.0009587338,0.0002308379,0.00061217,0.0002158206,0.0009681156,0.001000444,0.0008909531,0.0007259481,0.0002274474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006634418,"about_ca_system_score_gemma":0.0003558719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001653348,"about_ca_topic_score_gemma":0.0009849567,"domain_scores_codex":[0.999818,0.00006866419,0.000007660443,0.00003611595,0.00004828739,0.00002126209],"domain_scores_gemma":[0.99967,0.0001495741,0.0000723178,0.00002951672,0.00006281792,0.00001580685],"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":[0.00004134,0.00002124617,0.0006699809,0.00006991541,0.00005313029,0.0002032082,0.0001724502,0.6992363,0.009123708,0.2778862,0.0005464695,0.01197622],"study_design_scores_gemma":[0.000002600064,0.0000224593,0.0001142162,0.000006570735,0.00000442155,0.00001988187,0.00001803199,0.9613563,0.0005363758,0.03734535,0.0005692581,0.000004451739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02126177,0.0002054984,0.9675885,0.0001421219,0.00002274705,0.0000271404,0.00003534614,0.00007987641,0.010637],"genre_scores_gemma":[0.9624346,0.0005568499,0.02875587,0.00007495618,0.00007058007,0.0001692495,0.00006087308,0.00005522971,0.007821788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002690926,"threshold_uncertainty_score":0.00900197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171611523968228,"score_gpt":0.1988321441441964,"score_spread":0.1816709917473736,"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."}}