{"id":"W4400927929","doi":"10.23977/jemm.2024.090203","title":"Finite Element Modeling and Structural Parameter Optimization of Ball Hinge Rubber for Commercial Vehicle Thrust Rod","year":2024,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hinge; Finite element method; Thrust; Structural engineering; Ball (mathematics); Natural rubber; Mechanical engineering; Materials science; Engineering; Composite material; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003551235,0.0001374557,0.0002302397,0.000207404,0.00003101691,0.00007381383,0.0000767992,0.0000743011,0.00001175091],"category_scores_gemma":[0.0001172157,0.0001187053,0.00007276927,0.0001110221,0.00000331685,0.0001724051,0.00003194099,0.000267254,1.079663e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002757359,"about_ca_system_score_gemma":0.00001454549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002533716,"about_ca_topic_score_gemma":6.174803e-7,"domain_scores_codex":[0.9991948,0.00000844123,0.0003778389,0.00009670934,0.0001520438,0.0001701619],"domain_scores_gemma":[0.9995475,0.0001821483,0.00002908212,0.00007721945,0.0000678998,0.00009611866],"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":[0.00001188232,0.000004794083,0.000001139193,0.0003906698,0.00008030554,0.000002470533,0.00007084784,0.9852271,0.004483582,0.004821031,0.00002758835,0.004878597],"study_design_scores_gemma":[0.0002708051,0.0001180768,0.00000353244,0.0001537033,0.00004216009,0.00001841204,0.00001038705,0.9980484,0.0005959443,0.0004758252,0.0001438958,0.0001188038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04229947,0.002005134,0.9550036,0.00005773608,0.0004559834,0.0001005891,0.00002227057,0.00004760784,0.000007669932],"genre_scores_gemma":[0.9513778,0.0005245932,0.04788735,0.000007124648,0.000147254,0.00000562183,0.000006119525,0.00003881082,0.000005308505],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9090784,"threshold_uncertainty_score":0.4840663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829644751049097,"score_gpt":0.2545428656064855,"score_spread":0.2362464180959946,"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."}}