{"id":"W2981752183","doi":"10.1007/s42452-019-1524-y","title":"Development of an HLFS agricultural tire model using FEA technique","year":2019,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tread; Finite element method; Stiffness; Natural rubber; Structural engineering; Materials science; Mechanical engineering; Computer science; Automotive engineering; Engineering; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002147146,0.00008543795,0.000101225,0.0000534332,0.00007486383,0.00002448675,0.0002211089,0.00004951958,0.000004918868],"category_scores_gemma":[8.888279e-7,0.00006668079,0.00001554027,0.0002448383,0.00002859822,0.00009030752,0.00003540627,0.00005957077,0.000006091187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003746605,"about_ca_system_score_gemma":0.00004703786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002512599,"about_ca_topic_score_gemma":0.000008454837,"domain_scores_codex":[0.9993583,0.000002302427,0.0001379325,0.0001456722,0.0001859183,0.0001699065],"domain_scores_gemma":[0.9998199,0.000004287887,0.00002819767,0.00009352414,0.00001584036,0.00003823543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001214851,0.00001266697,0.00003151354,0.00003266966,0.000004660012,1.663343e-7,0.000556228,0.1869079,0.7781515,0.008597976,0.0000025173,0.02570103],"study_design_scores_gemma":[0.00004757006,0.000007646738,0.00009774144,0.00001210944,0.000001721825,0.000001941291,0.0004646131,0.9427443,0.05604798,0.0004400217,0.00001671368,0.0001176327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864072,0.000008219522,0.006123053,0.000001893581,0.0000716161,0.000171108,0.000001672467,0.00008527269,0.007129989],"genre_scores_gemma":[0.9217235,0.000001111491,0.07823023,0.000005551008,0.000008693575,0.00001128739,0.00000207321,0.000006471289,0.00001101051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7558364,"threshold_uncertainty_score":0.2719164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035012907663231,"score_gpt":0.2332070403732613,"score_spread":0.212856911296629,"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."}}