{"id":"W2056295078","doi":"10.1007/s12206-011-0929-3","title":"An alternative finite element model for simulation of frictional gap","year":2011,"lang":"en","type":"article","venue":"Journal of Mechanical Science and Technology","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Calgary","funders":"Alberta Innovates; Alberta Heritage Foundation for Medical Research; Canada Research Chairs","keywords":"Lagrange multiplier; Finite element method; Penalty method; Structural engineering; Node (physics); Materials science; Applied mathematics; Mechanics; Mathematics; Engineering; Mathematical optimization; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002203835,0.0003789264,0.0006806793,0.000491504,0.0003928358,0.0007196146,0.001777275,0.002454138,0.004288432],"category_scores_gemma":[0.000927933,0.000460318,0.0005751734,0.0004483891,0.00043696,0.0007671103,0.0004881521,0.0007266842,0.0007100503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004813133,"about_ca_system_score_gemma":0.000786726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006140588,"about_ca_topic_score_gemma":0.004835395,"domain_scores_codex":[0.9998535,0.00002628379,0.000008829065,0.00002141239,0.00007240313,0.00001760579],"domain_scores_gemma":[0.9997707,0.00009014335,0.00002025026,0.00002942093,0.00006732708,0.00002212345],"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":[0.00004952759,0.00005735896,0.0003195951,0.00005308976,0.00001622565,0.00009353958,0.00006043091,0.9773014,0.006981527,0.007493972,0.0002956972,0.007277652],"study_design_scores_gemma":[0.000005036532,0.000008264865,0.00003474691,0.000002095934,0.000002241685,0.000009142519,0.00000476542,0.99892,0.0003469083,0.0002806623,0.0003839041,0.000002341522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09816972,0.0002766172,0.8859821,0.0002754707,0.0001901167,0.0001025036,0.0003011309,0.0007095961,0.01399284],"genre_scores_gemma":[0.8478709,0.0002422975,0.1405663,0.0001434513,0.00003352887,0.0002451211,0.0002779974,0.0001868293,0.01043357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006140588,"threshold_uncertainty_score":0.01434624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05575673690316582,"score_gpt":0.2907614744966701,"score_spread":0.2350047375935043,"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."}}