{"id":"W2020404760","doi":"10.1016/s0168-874x(01)00078-6","title":"A comparison of Eulerian and updated Lagrangian finite element algorithms for simulating film casting","year":2002,"lang":"en","type":"article","venue":"Finite Elements in Analysis and Design","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Finite element method; Eulerian path; Casting; Stability (learning theory); Lagrangian; Algorithm; Viscoelasticity; Computer science; Mechanical engineering; Mathematics; Applied mathematics; Materials science; Engineering; Structural engineering; Composite material","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":[0.0004157758,0.0001673878,0.0005147097,0.0002951464,0.0001169065,0.00001768974,0.00007185905,0.00007766754,0.0001260048],"category_scores_gemma":[0.0002252875,0.0001616586,0.00007703552,0.0005610143,0.00004636813,0.0000539662,0.00006233829,0.0001071294,0.000001058629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001819066,"about_ca_system_score_gemma":0.000002523845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003392033,"about_ca_topic_score_gemma":0.00005856766,"domain_scores_codex":[0.9986484,0.00005148589,0.00063508,0.0002733729,0.0001117702,0.0002798997],"domain_scores_gemma":[0.9988925,0.000711744,0.0001704322,0.000121823,0.00005369777,0.00004984045],"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":[0.00007741752,0.000250547,0.2960871,0.000123323,0.002159882,0.000006013678,0.003209658,0.6752164,0.004207938,0.0007580699,0.0001438195,0.01775984],"study_design_scores_gemma":[0.0008888802,0.00009090955,0.002067946,0.00002668409,0.0003413189,1.764921e-7,0.000285342,0.9956023,0.000418337,0.00003527144,0.00008362505,0.0001592292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04492225,0.0005984143,0.9538199,0.00003980641,0.00002670943,0.0002474321,0.00005546945,0.00002312639,0.0002668906],"genre_scores_gemma":[0.9464815,0.00008240621,0.05281331,0.00003142312,0.00001780167,0.00002655233,0.00006692485,0.00001194164,0.0004681129],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9015593,"threshold_uncertainty_score":0.6592247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05165811509466823,"score_gpt":0.3034219828930765,"score_spread":0.2517638677984083,"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."}}