{"id":"W2791889805","doi":"10.1007/s40435-018-0403-5","title":"Cornering characteristics of a truck tire on wet surface using finite element analysis and smoothed-particle hydrodynamics","year":2018,"lang":"en","type":"article","venue":"International Journal of Dynamics and Control","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Truck; Finite element method; Road surface; Stiffness; Contact patch; Radial tire; Base (topology); Structural engineering; Tire balance; Automotive engineering; Engineering; Materials science; Tread; Mathematics; Composite material","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":[0.0001505773,0.0003084257,0.0004399564,0.000586568,0.0003727009,0.0004067022,0.0004304387,0.0009540474,0.001274857],"category_scores_gemma":[0.0004738469,0.0002255327,0.0005690682,0.0004106201,0.0003392331,0.0003622903,0.0002830628,0.0002488642,0.0002051187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742637,"about_ca_system_score_gemma":0.0003743095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005677098,"about_ca_topic_score_gemma":0.004516624,"domain_scores_codex":[0.999912,0.00001094663,0.000004496212,0.00001759133,0.00003503138,0.00001981513],"domain_scores_gemma":[0.9996992,0.0001078306,0.00003419231,0.00003357519,0.00008864557,0.00003651017],"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":[0.0007336077,0.000310696,0.04141069,0.0001314954,0.0000785349,0.001470519,0.0007122756,0.7880847,0.1331353,0.0009834016,0.0009199493,0.03202895],"study_design_scores_gemma":[0.000006982087,0.00006574554,0.01448877,0.000005349666,0.00001077106,0.00005978589,0.000165085,0.9804835,0.004438825,0.00008738357,0.000168943,0.00001885703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786378,0.00004362586,0.01947645,0.00003034096,0.00001000475,0.00002057556,0.0001073547,0.0001830143,0.001490886],"genre_scores_gemma":[0.9980456,0.00001278119,0.001371604,0.00000288705,0.000001602503,0.000005646752,0.00007020847,0.00001106394,0.0004788144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005677098,"threshold_uncertainty_score":0.01128811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005551640138782244,"score_gpt":0.2348317338665778,"score_spread":0.2292800937277956,"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."}}