{"id":"W2803823971","doi":"10.1016/j.jterra.2018.05.001","title":"Improved tire-soil interaction model using FEA-SPH simulation","year":2018,"lang":"en","type":"article","venue":"Journal of Terramechanics","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Geotechnical engineering; Finite element method; Smoothed-particle hydrodynamics; Terrain; Truck; Dry sand; Rolling resistance; Contact patch; Soil water; Software; Geology; Environmental science; Structural engineering; Engineering; Materials science; Mechanics; Tread; Soil science; Computer science; Natural rubber; Composite material; Automotive engineering","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":[0.0001478144,0.0007084277,0.00114185,0.0006604,0.000706821,0.0007010361,0.002112273,0.00209383,0.005804876],"category_scores_gemma":[0.0005446102,0.0006240018,0.0009671708,0.0006828604,0.0003860342,0.00074266,0.0007817377,0.0007973562,0.001196085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005584227,"about_ca_system_score_gemma":0.001120553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02588502,"about_ca_topic_score_gemma":0.01676791,"domain_scores_codex":[0.999841,0.0000232134,0.000009209941,0.00002955462,0.00007016888,0.00002688011],"domain_scores_gemma":[0.9997745,0.00005007601,0.00002512738,0.00003221273,0.00009053959,0.0000275063],"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":[0.00002286771,0.0000533306,0.0008004119,0.00004269464,0.0000240752,0.0001370675,0.00003139225,0.9879958,0.003348494,0.001309765,0.0005528011,0.005681322],"study_design_scores_gemma":[0.000005139063,0.000004201031,0.0001468461,0.000002354466,0.000002971495,0.000008962934,0.000005021118,0.9991323,0.0001762367,0.0001485398,0.000363912,0.000003442293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1775013,0.0006285402,0.7634118,0.0004934932,0.0003801858,0.0002284242,0.001921824,0.003292539,0.05214182],"genre_scores_gemma":[0.9444708,0.0003146257,0.03708239,0.00009495326,0.00007082451,0.0002038005,0.0008155068,0.0003196429,0.01662751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02588502,"threshold_uncertainty_score":0.05146867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325226892140481,"score_gpt":0.2866013719114804,"score_spread":0.2533491029900756,"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."}}