{"id":"W4412931526","doi":"10.1016/j.jterra.2025.101081","title":"Efficient flexible tire-terrain interaction modelling","year":2025,"lang":"en","type":"article","venue":"Journal of Terramechanics","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Terrain; Computer science; Car model; Automotive engineering; Environmental science; Marine engineering; Engineering; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001797614,0.000601213,0.001037023,0.0004471909,0.0006482756,0.0008537247,0.001639434,0.001553809,0.006034314],"category_scores_gemma":[0.0008569913,0.0006574914,0.000846648,0.0006020519,0.0004740425,0.0008327696,0.001308264,0.0007117843,0.001018934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005064708,"about_ca_system_score_gemma":0.0008261856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01454128,"about_ca_topic_score_gemma":0.01524193,"domain_scores_codex":[0.999786,0.00003708052,0.000009073973,0.00003245996,0.00009397091,0.00004151114],"domain_scores_gemma":[0.9997053,0.0001336148,0.00003063735,0.00005194391,0.00005475717,0.00002386155],"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":[0.00001186242,0.00001021683,0.0001345903,0.000015087,0.000007546149,0.00003225359,0.00001887894,0.993134,0.0008650247,0.001431525,0.0001831942,0.00415583],"study_design_scores_gemma":[0.000001193198,0.00000226128,0.00002501537,8.53549e-7,7.838225e-7,0.000003272075,0.000002451019,0.999404,0.00009902267,0.0003069427,0.0001529587,0.000001249433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06006873,0.0001783015,0.924695,0.0001372195,0.00004911186,0.00007015131,0.0003389416,0.0007653151,0.01369728],"genre_scores_gemma":[0.9263055,0.0001584165,0.06209148,0.00004115476,0.00001948967,0.0001001644,0.0003445426,0.0002723805,0.01066687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01454128,"threshold_uncertainty_score":0.02891326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123540310587179,"score_gpt":0.2472871137899399,"score_spread":0.234933082731222,"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."}}