{"id":"W1997777200","doi":"10.1076/vesd.39.2.81.14159","title":"Emergency Braking Control with an Observer-based Dynamic Tire/Road Friction Model and Wheel Angular Velocity Measurement","year":2003,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Anti-lock braking system; Angular velocity; Control theory (sociology); Brake; Braking distance; Observer (physics); Unobservable; Vehicle dynamics; Engineering; Relative velocity; Linear matrix inequality; Threshold braking; Dynamical friction; Engine braking; Automotive engineering; Computer science; Control (management); Mathematics; Physics","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":[0.0004626076,0.0004252525,0.0004717098,0.0002064841,0.0001739281,0.0004692432,0.0005829167,0.0003365943,0.0008926415],"category_scores_gemma":[0.0008033668,0.0002826139,0.0002658648,0.0000989538,0.0003031971,0.0003477996,0.0004095979,0.000626854,0.0002691171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002700507,"about_ca_system_score_gemma":0.0005189434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003263968,"about_ca_topic_score_gemma":0.002764479,"domain_scores_codex":[0.9997333,0.00005191689,0.00001897383,0.00005238224,0.00009761562,0.00004588269],"domain_scores_gemma":[0.9996463,0.00008103035,0.00007671528,0.00004842426,0.000129439,0.00001808837],"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":[0.0006112797,0.000218798,0.002106329,0.0003031909,0.00009209942,0.0002508455,0.0002921462,0.7509701,0.1165319,0.005639175,0.00124836,0.1217358],"study_design_scores_gemma":[0.00004654508,0.0001308006,0.000606248,0.000006748476,0.00001701108,0.000023909,0.00001041741,0.9912777,0.006958304,0.000316745,0.0005966478,0.000008929243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05928049,0.00009001842,0.9380597,0.00007148464,0.0000366001,0.00004229254,0.00002292959,0.0007312261,0.001665344],"genre_scores_gemma":[0.9848837,0.00004082296,0.01358575,0.00001273725,0.000007627573,0.00004534637,0.00003260214,0.00001174534,0.001379721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003263968,"threshold_uncertainty_score":0.006489992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011762514217556,"score_gpt":0.1874346106004627,"score_spread":0.1773169854582872,"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."}}