{"id":"W2295398670","doi":"10.1002/nme.5185","title":"A new technique for numerical simulation of dendritic solidification using a meshfree interface finite element method","year":2015,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Finite element method; Diffuse element method; Meshfree methods; Level set method; Smoothed finite element method; Interface (matter); Computer science; Extended finite element method; Kronecker delta; Algorithm; Applied mathematics; Mathematics; Computational science; Mathematical optimization; Boundary knot method; Bubble; Boundary element method; Finite element limit analysis; Structural engineering; Physics; Parallel computing","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":[0.001670114,0.0002064512,0.0003778921,0.0003815286,0.00002614779,0.00005454377,0.0003323171,0.0001204537,0.00002129463],"category_scores_gemma":[0.001650276,0.0002143521,0.0001674379,0.000203891,0.000007709548,0.0002913322,0.00004816292,0.000228342,7.98305e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003843844,"about_ca_system_score_gemma":0.00006447341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001473537,"about_ca_topic_score_gemma":3.766202e-7,"domain_scores_codex":[0.9983617,0.00008214437,0.000826648,0.0001750258,0.0002663603,0.0002881375],"domain_scores_gemma":[0.9984118,0.0008649628,0.0001600355,0.000120603,0.000271681,0.0001709117],"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":[0.00009434863,0.00001975305,0.000007512238,0.00006204523,0.00008986564,0.000001731582,0.0001624534,0.8499225,0.1359699,0.000615106,0.00001677139,0.01303801],"study_design_scores_gemma":[0.0006832482,0.00008171123,0.000006071192,0.0001402276,0.00003185432,0.00005394527,0.00003744621,0.8626516,0.1280587,0.003351456,0.004718864,0.000184818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005002077,0.0001524376,0.9957387,0.00004296551,0.003033587,0.0004314279,0.00001272349,0.00006704752,0.00002086784],"genre_scores_gemma":[0.1964796,0.000008026129,0.8030255,0.000009263649,0.0003389898,0.00006668163,0.000006384642,0.00004964927,0.00001586485],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1959794,"threshold_uncertainty_score":0.8741024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07534681606972048,"score_gpt":0.4328021559868662,"score_spread":0.3574553399171457,"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."}}