{"id":"W2188176410","doi":"","title":"PENALTY-FINITE ELEMENT APPROXIMATIONS OF SLIP BOUNDARY CONDITIONS","year":2015,"lang":"en","type":"article","venue":"","topic":"Contact Mechanics and Variational Inequalities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Lagrange multiplier; Boundary value problem; Slip (aerodynamics); Finite element method; Mathematics; Penalty method; Dirichlet boundary condition; Boundary knot method; Applied mathematics; Mixed boundary condition; Boundary conditions in CFD; Boundary (topology); Mathematical analysis; Robin boundary condition; Mathematical optimization; Boundary element method; Structural engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003492617,0.0000572295,0.00008744115,0.00008657777,0.00006721245,0.00007810989,0.0002777735,0.00001877494,0.0001282496],"category_scores_gemma":[0.00006297763,0.00005155538,0.00003808462,0.0001769694,0.000006219835,0.0003257978,0.000117451,0.00003867799,0.00004514897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002942083,"about_ca_system_score_gemma":0.0002380326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008222858,"about_ca_topic_score_gemma":0.00002553997,"domain_scores_codex":[0.9992627,0.0000347864,0.0002294847,0.000116597,0.0002522192,0.0001042212],"domain_scores_gemma":[0.9992352,0.0001086503,0.00008112034,0.0002500176,0.0002496481,0.00007535129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[7.778271e-7,0.00004640357,0.00003510687,0.000004220237,0.00001033216,3.656605e-7,0.0005037733,0.00006118515,0.00009055843,0.9972119,0.001862402,0.0001729932],"study_design_scores_gemma":[0.0006008641,0.0001613705,0.0007064135,0.00001432668,0.000009990687,0.000004923799,0.000504397,0.3665127,0.001994707,0.6006145,0.02868282,0.0001929596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001340424,0.00002859215,0.9773533,0.001856853,0.0002211864,0.00009952203,0.0000252061,0.00005691636,0.01901804],"genre_scores_gemma":[0.9553545,0.000002382566,0.04281267,0.000385203,0.00003436971,0.00002442978,0.00003192283,0.000002943559,0.001351619],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9540141,"threshold_uncertainty_score":0.2102367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06939063434004598,"score_gpt":0.2991237103688709,"score_spread":0.2297330760288249,"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."}}