{"id":"W4396799724","doi":"10.1177/09544070241244556","title":"Prediction of rolling resistance and wheel force for a passenger car tire: A comparative study on the use of different material models and numerical approaches","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Automotive engineering; Rolling resistance; Slip angle; Car model; Computer science; Engineering; Structural engineering; Steering wheel","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005639306,0.0002024209,0.0005157417,0.000192795,0.000039254,0.00003607886,0.0001949772,0.00009841321,0.00000176066],"category_scores_gemma":[0.0002635312,0.0001314341,0.0001421413,0.0002894115,0.00005978949,0.0002905171,0.00005314576,0.0003375049,3.213989e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004858712,"about_ca_system_score_gemma":0.00002610176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001167311,"about_ca_topic_score_gemma":1.677934e-7,"domain_scores_codex":[0.9984906,0.00001350314,0.000772804,0.0001499731,0.0004008118,0.000172265],"domain_scores_gemma":[0.9991071,0.000367754,0.0001515003,0.000108144,0.0001884151,0.00007707285],"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":[0.0001435771,0.0001174628,0.000005390491,0.001422437,0.0003559949,4.845346e-7,0.0008108212,0.8280564,0.1249023,0.04385593,0.00009378303,0.0002354371],"study_design_scores_gemma":[0.0003487837,0.0003840626,0.00003183939,0.000891388,0.00009809504,0.000007936463,0.0002610687,0.8723155,0.1253203,0.000175295,0.00007876394,0.00008691919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8178442,0.0003390188,0.1805171,0.00006208058,0.0004250226,0.000675326,0.00007228416,0.00005311488,0.00001182651],"genre_scores_gemma":[0.9975699,0.0000693332,0.002199715,8.475553e-7,0.00007289423,0.00005400532,0.000001036597,0.00002474322,0.000007537705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1797256,"threshold_uncertainty_score":0.5359728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077138560216106,"score_gpt":0.2555322624300868,"score_spread":0.1478184064084762,"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."}}