{"id":"W4381660934","doi":"10.31875/2409-9848.2023.10.09","title":"Vehicle Longitudinal Control with the Sliding Mode Method Considering Uncertainty of the Model","year":2023,"lang":"en","type":"article","venue":"Journal of Modern Mechanical Engineering and Technology","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Sliding mode control; Controller (irrigation); Control theory (sociology); Mode (computer interface); Control (management); Tracing; Nonlinear system; Engineering; Computer science; Automotive engineering; Control engineering","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":[0.0004842163,0.0006263219,0.0005552528,0.0002784801,0.0004395719,0.0007001344,0.0006433771,0.0006097413,0.001876812],"category_scores_gemma":[0.0005949634,0.0002630313,0.0005297576,0.0001973071,0.0004263975,0.0005330233,0.000558332,0.0006642558,0.0002181855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252766,"about_ca_system_score_gemma":0.0007887923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006940715,"about_ca_topic_score_gemma":0.00336736,"domain_scores_codex":[0.9998147,0.00004336066,0.000009535798,0.00004878566,0.00005690386,0.00002675891],"domain_scores_gemma":[0.9997799,0.0000708883,0.00003448213,0.00001749447,0.00008410956,0.00001318906],"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":[0.0001537695,0.000057245,0.0008695035,0.0001723398,0.00008230467,0.0001754106,0.0002363568,0.8879007,0.01143668,0.01297539,0.001025041,0.08491531],"study_design_scores_gemma":[0.000007637089,0.00006379667,0.00007650322,0.000004210371,0.000005207619,0.000007271526,0.000007170139,0.9985062,0.0004341784,0.0005426317,0.0003420387,0.000003070946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0217012,0.0002055241,0.9748956,0.0001174527,0.00004791458,0.00002601803,0.00001740776,0.0002094836,0.002779476],"genre_scores_gemma":[0.9589788,0.0002455793,0.03601434,0.00004697076,0.00005568513,0.0001360974,0.00005457471,0.00002409818,0.004443789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006940715,"threshold_uncertainty_score":0.01380062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009870688750364133,"score_gpt":0.2148822296476456,"score_spread":0.2050115408972814,"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."}}