{"id":"W2512411806","doi":"10.1109/med.2016.7535963","title":"Optimization of a quarter vehicle model","year":2016,"lang":"en","type":"article","venue":"","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"VINNOVA","keywords":"Powertrain; Quarter (Canadian coin); Computer science; Point (geometry); Control (management); Automotive engineering; Optimal control; Car model; Engineering; Simulation; Control engineering; Torque; Artificial intelligence; Mathematical optimization; Mathematics","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":[0.0002726608,0.0004093994,0.000975494,0.0003024868,0.000295319,0.0007472902,0.0006078694,0.0008723526,0.005025581],"category_scores_gemma":[0.000444387,0.0003220454,0.0005505423,0.0003050707,0.0005403777,0.0006463107,0.0005157578,0.0004822065,0.0005354601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000507439,"about_ca_system_score_gemma":0.0008345612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007526628,"about_ca_topic_score_gemma":0.002969808,"domain_scores_codex":[0.9998689,0.00004193638,0.000004743102,0.00002109498,0.00003975291,0.00002353001],"domain_scores_gemma":[0.999855,0.00005233309,0.00001721111,0.00001982774,0.00003876416,0.00001682582],"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":[0.00002218608,0.000006651384,0.0001041152,0.00001352407,0.000004192695,0.00001796718,0.00001189416,0.9939428,0.000692506,0.003417027,0.0001523937,0.001614782],"study_design_scores_gemma":[0.000003816972,0.00001264545,0.00004396621,0.000001279533,0.000001391633,0.000004341855,0.000006280053,0.9983936,0.0001304551,0.001034068,0.0003660154,0.000002203215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1590978,0.0003512291,0.8059893,0.0003041615,0.00005844306,0.00006701451,0.0005632915,0.0004302587,0.0331384],"genre_scores_gemma":[0.9641368,0.0002267607,0.02288884,0.00004105595,0.00001059339,0.00009836083,0.0002851177,0.0000917142,0.01222087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007526628,"threshold_uncertainty_score":0.01681226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003772904913084847,"score_gpt":0.1611688607698687,"score_spread":0.1573959558567839,"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."}}