{"id":"W2073910951","doi":"10.1016/j.conengprac.2009.07.002","title":"New adaptive approaches to real-time estimation of vehicle sideslip angle","year":2009,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Yaw; Control theory (sociology); Euler angles; Acceleration; Slip angle; Stiffness; Vehicle dynamics; Engineering; Angle of attack; Identification (biology); SIGNAL (programming language); Computer science; Steering wheel; Automotive engineering; Artificial intelligence; Control (management); Mathematics; Structural 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003036,0.0002076999,0.000343057,0.0001249553,0.0000253798,0.00004714695,0.0001666756,0.00009541991,0.000009931267],"category_scores_gemma":[0.0002063169,0.0002298992,0.00007422173,0.000264771,0.000004487977,0.000409531,0.00001022236,0.0001564468,0.00005936363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000937303,"about_ca_system_score_gemma":0.00002886125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001003694,"about_ca_topic_score_gemma":0.000001841726,"domain_scores_codex":[0.9989347,0.00002826989,0.0003434833,0.0001897547,0.000209985,0.0002937841],"domain_scores_gemma":[0.9991075,0.0002890442,0.00007614629,0.0002928277,0.00005410547,0.0001803239],"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":[0.00006778289,0.00002171487,0.000002604612,0.00001555949,0.0000834267,0.000005168243,0.00015844,0.9493356,0.02118869,0.004053586,0.0002625533,0.02480491],"study_design_scores_gemma":[0.0008420567,0.0001738995,0.0006877325,0.00004479996,0.00007120673,0.00001174836,0.00002727309,0.9967296,0.0003416611,0.00006015429,0.0007835024,0.0002263738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01098534,0.0003408518,0.9778015,0.0009007363,0.0002085718,0.0005424939,0.00001261655,0.0005575041,0.008650418],"genre_scores_gemma":[0.9773884,0.000009519567,0.02216508,0.00005386911,0.0001488134,0.00002053406,0.000004140308,0.00004047809,0.0001690998],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9664031,"threshold_uncertainty_score":0.9375019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154003618659268,"score_gpt":0.1980267619892853,"score_spread":0.1826264001233585,"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."}}