{"id":"W2086218673","doi":"10.1115/pvp2005-71587","title":"A Finite Element Study on Contact Pressure Distribution in Draw-Bend Friction Test and Its Effect on Friction Measurement","year":2005,"lang":"en","type":"article","venue":"","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Coulomb friction; Finite element method; Constant (computer programming); Materials science; Mechanics; Friction coefficient; Coulomb; Coefficient of friction; Dry friction; Structural engineering; Composite material; Engineering; Physics; Computer science; Nonlinear system","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":[0.0005955654,0.0003093943,0.0005204949,0.000608102,0.0003315516,0.0003759097,0.0006364423,0.0009961516,0.001508693],"category_scores_gemma":[0.002409227,0.0003185767,0.0003421464,0.0005348338,0.000570652,0.0005005248,0.000282442,0.000331946,0.0001896424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510508,"about_ca_system_score_gemma":0.0002452848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00200177,"about_ca_topic_score_gemma":0.001592936,"domain_scores_codex":[0.9995686,0.00006028172,0.00002401544,0.00005602249,0.0002455153,0.00004547132],"domain_scores_gemma":[0.9980996,0.001275317,0.0001177889,0.0001760095,0.0002622722,0.00006904553],"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":[0.00119831,0.0003682294,0.02186343,0.0005746615,0.00005676078,0.0009246699,0.002064205,0.382565,0.5272836,0.003919899,0.0007824667,0.05839865],"study_design_scores_gemma":[0.00001617572,0.0003059244,0.01049058,0.00002426575,0.00002017086,0.0001917659,0.0001956453,0.8852046,0.1025295,0.0002318076,0.0007474945,0.00004223612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390036,0.0001652021,0.05842789,0.000058928,0.00001185835,0.00002267025,0.0001053493,0.0002689768,0.001935519],"genre_scores_gemma":[0.9937685,0.00004013138,0.005686749,0.000006970631,0.000001727124,0.00001045229,0.00004859405,0.00001803522,0.0004188991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00200177,"threshold_uncertainty_score":0.005047023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018445790187525,"score_gpt":0.2556717924798075,"score_spread":0.2372260022922825,"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."}}