{"id":"W2136001549","doi":"10.1109/icmech.2011.5971269","title":"An overriding controller for vehicle lateral control system","year":2011,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Distraction; Controller (irrigation); SIGNAL (programming language); Advanced driver assistance systems; Control signal; Control system; Computer science; Monte Carlo method; Engineering; Control engineering; Control (management); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001376189,0.0001132672,0.0001938837,0.00004404338,0.00007478629,0.000009282153,0.0001380637,0.0001484934,0.00005238714],"category_scores_gemma":[0.000003666503,0.000100567,0.00005620671,0.00003608321,0.00002294233,0.0001393819,0.00000594994,0.00008799304,0.00004398904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000472896,"about_ca_system_score_gemma":0.000005335413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001765594,"about_ca_topic_score_gemma":0.000008156235,"domain_scores_codex":[0.9993907,0.00001089696,0.0001752852,0.0001282182,0.00003624301,0.0002586962],"domain_scores_gemma":[0.9997119,0.00002803854,0.00001810843,0.0001653321,0.00002244732,0.00005411979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001030371,0.0002305133,0.03251267,0.0004367845,0.00102596,0.00004719449,0.002045915,0.01156007,0.1115604,0.8023598,0.002167561,0.03502266],"study_design_scores_gemma":[0.002617615,0.0001311099,0.006389159,0.0000110736,0.00003234942,0.000008788223,0.000151886,0.9761682,0.01285511,0.0006096497,0.0007981324,0.0002269874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6534383,0.0001052049,0.3156835,0.00003622359,0.0003783585,0.0006701039,0.00002987587,0.004426903,0.0252315],"genre_scores_gemma":[0.9982269,0.000001182623,0.00145632,0.00006588183,0.00004938504,0.00007196733,0.00000196207,0.00002754369,0.00009878772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9646081,"threshold_uncertainty_score":0.4101004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147906897925027,"score_gpt":0.190133492419544,"score_spread":0.1786544234402937,"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."}}