{"id":"W2028617054","doi":"10.4271/2011-01-0989","title":"Semi-Active Suspension Design for Enhancing Vehicle Ride, Road-Friendliness and Braking Performance","year":2011,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Automotive engineering; Suspension (topology); Computer science; Dynamic braking; Vehicle dynamics; Vehicle safety; Braking distance; Engineering; Retarder; Brake; Mathematics","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":[0.0001680114,0.0003464063,0.0002215391,0.0002890393,0.0001560346,0.0003093846,0.0005603581,0.0003622651,0.001605021],"category_scores_gemma":[0.000249132,0.0001227669,0.0002549549,0.0001121596,0.0002019535,0.0004390144,0.0003576227,0.0001946473,0.0004884818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836091,"about_ca_system_score_gemma":0.0002371672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003064022,"about_ca_topic_score_gemma":0.0008189119,"domain_scores_codex":[0.9997993,0.00004129634,0.00001593984,0.00003346797,0.00009281705,0.00001716357],"domain_scores_gemma":[0.9998304,0.0000383562,0.0000358566,0.00001757355,0.00006791654,0.000009829891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002848733,0.0001808906,0.001186671,0.0003842473,0.00007213902,0.0001282261,0.0001259294,0.130469,0.7070981,0.007428242,0.0008375028,0.151804],"study_design_scores_gemma":[0.00007734653,0.001297852,0.002173247,0.00002744411,0.00008685729,0.0001648708,0.0000770087,0.8540215,0.1296072,0.002684359,0.009753807,0.00002857706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1285154,0.000260254,0.8634374,0.00007475491,0.00004701564,0.00004572492,0.00003871656,0.0004430005,0.007137768],"genre_scores_gemma":[0.9559904,0.0001249071,0.03971839,0.00002888946,0.00002905768,0.00005194789,0.00008674375,0.00002341113,0.003946272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001605021,"threshold_uncertainty_score":0.005369365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469406627428817,"score_gpt":0.2147050596863002,"score_spread":0.200010993412012,"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."}}