{"id":"W3119178272","doi":"10.1177/0954407020983580","title":"Tire–road friction coefficient estimation based on designed braking pressure pulse","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CarSim; Control theory (sociology); Slip (aerodynamics); MATLAB; Kalman filter; Vehicle dynamics; Braking distance; Slip ratio; Engineering; Computer science; Automotive engineering; Simulation; Brake; Control (management)","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":[0.0006097673,0.0002196777,0.0004368533,0.0002116638,0.00005411181,0.00003526691,0.0002882853,0.0001541677,0.00001553127],"category_scores_gemma":[0.0004970006,0.0001881613,0.0002656211,0.0005094261,0.00002250286,0.0002345079,0.00003100928,0.0003689091,8.313189e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001260008,"about_ca_system_score_gemma":0.00008952452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001917133,"about_ca_topic_score_gemma":2.350744e-7,"domain_scores_codex":[0.9982051,0.00001050783,0.0008362085,0.0001426449,0.0005769155,0.0002285759],"domain_scores_gemma":[0.9988816,0.00008133009,0.0003383023,0.0001370414,0.0004626096,0.00009914084],"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":[0.00002409046,0.00006611088,0.000008359771,0.0003947069,0.00009353278,0.000002378603,0.00004683105,0.8739064,0.1188426,0.004277193,0.00005026,0.002287446],"study_design_scores_gemma":[0.0006611997,0.0001256504,0.0001030987,0.001029907,0.0001053679,0.00004704239,0.00003939271,0.8889251,0.1084406,0.00001511217,0.0003620023,0.0001455657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4919317,0.0008446839,0.5016219,0.0001511139,0.003954082,0.0005339324,0.00002703766,0.000248941,0.0006865717],"genre_scores_gemma":[0.9974936,0.00002777215,0.002288023,0.000008804665,0.0001232954,0.0000124982,0.00000171742,0.0000322269,0.00001203735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5055619,"threshold_uncertainty_score":0.7672993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005246859815110701,"score_gpt":0.1893885914018978,"score_spread":0.1841417315867871,"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."}}