{"id":"W2980312472","doi":"10.30880/ijie.2019.11.04.008","title":"Modelling and Validation of An Electronic Wedge Brake System with Realistic Quarter Car Model for Anti-Lock Braking System Design","year":2019,"lang":"en","type":"article","venue":"International Journal of Integrated Engineering","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Putra Malaysia","keywords":"Anti-lock braking system; Brake; Wedge (geometry); Lock (firearm); Automotive engineering; Engineering; Braking system; Quarter (Canadian coin); Car model; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003836285,0.0005530838,0.0008264722,0.0004260403,0.0005287656,0.0008525346,0.001173155,0.001363579,0.005290974],"category_scores_gemma":[0.0006301197,0.0004117498,0.0007301637,0.0002310381,0.0004519801,0.0005466255,0.0005432154,0.0006513278,0.0008900576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004531661,"about_ca_system_score_gemma":0.0009244269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003743,"about_ca_topic_score_gemma":0.006192943,"domain_scores_codex":[0.9997063,0.00006342663,0.00001985155,0.00003931911,0.0001342811,0.00003667857],"domain_scores_gemma":[0.9996593,0.0001081291,0.0000428633,0.00004479236,0.0001273725,0.00001745057],"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":[0.00008664854,0.00003700165,0.0004931947,0.0001295321,0.00001963861,0.00009854016,0.00006824356,0.9842541,0.007309581,0.001392942,0.0002588699,0.005851738],"study_design_scores_gemma":[0.00001321961,0.00007483982,0.0002242814,0.000008639544,0.000008463557,0.00001721595,0.00001504644,0.9967076,0.001729636,0.0001699017,0.001026325,0.000004842196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2162388,0.0006502067,0.7495112,0.0003647484,0.0002160811,0.0002871047,0.0007437,0.001615789,0.03037227],"genre_scores_gemma":[0.9781302,0.0001432875,0.01538594,0.00001864305,0.000007167876,0.0001529725,0.0002385768,0.00003549444,0.005887866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01003743,"threshold_uncertainty_score":0.01995802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006756751723615751,"score_gpt":0.1906684153326087,"score_spread":0.183911663608993,"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."}}