{"id":"W4387105415","doi":"10.1145/3625562","title":"Event-Triggered Control with Intermittent Communications over Erasure Channels for Leader–Follower Problems with the Combined-Slip Effect","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Traffic control and management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Estimator; Computer science; Channel (broadcasting); Transmission (telecommunications); Slip (aerodynamics); Controller (irrigation); Real-time computing; Control (management); Engineering; Computer network; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002423983,0.0003403648,0.0004686091,0.0001083291,0.0003306376,0.0001263482,0.000628177,0.00007065653,0.000004562758],"category_scores_gemma":[0.00000673918,0.000201898,0.0002236952,0.0004808818,0.0000922473,0.0001236104,0.00001018567,0.0003347301,0.00006584851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009115313,"about_ca_system_score_gemma":0.00001502512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007576564,"about_ca_topic_score_gemma":0.0001789742,"domain_scores_codex":[0.9985551,0.0001165457,0.0002571864,0.0002967129,0.0003345415,0.0004398881],"domain_scores_gemma":[0.9977878,0.0007866694,0.00006209358,0.001195322,0.00006795196,0.0001001007],"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":[0.0003879289,0.0003827737,0.00003046433,0.0003912996,0.001834872,0.000005253572,0.001076298,0.9681596,0.001056421,0.0007259104,0.002615419,0.02333378],"study_design_scores_gemma":[0.01947175,0.004455688,0.003265441,0.001131406,0.001636698,0.00001412466,0.00132856,0.9142351,0.0003761204,0.0001339721,0.05258228,0.001368909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.299544,0.000450023,0.6669636,0.01047532,0.002235395,0.01553338,0.0003710254,0.003661473,0.0007658234],"genre_scores_gemma":[0.9940079,0.0000155855,0.00002153438,0.00006878038,0.000113792,0.0048138,0.00003021407,0.00008184272,0.0008465046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.694464,"threshold_uncertainty_score":0.8233163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266620988698575,"score_gpt":0.2267562298165379,"score_spread":0.2140900199295521,"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."}}