{"id":"W4389347523","doi":"10.1145/3618388","title":"Progressive Shell Qasistatics for Unstructured Meshes","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Polygon mesh; Computer science; Subdivision surface; Shell (structure); Volume mesh; Level of detail; Computational science; Algorithm; Mesh generation; Computer graphics (images); Finite element method; Structural engineering; Engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006086531,0.0005092002,0.0003396945,0.0004610069,0.0004594044,0.0007790531,0.0009943723,0.0006185569,0.005359085],"category_scores_gemma":[0.002472036,0.0003358235,0.0008013792,0.0002291007,0.001094354,0.0007745757,0.002206598,0.00142797,0.001274001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004805619,"about_ca_system_score_gemma":0.0005271495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661636,"about_ca_topic_score_gemma":0.0019142,"domain_scores_codex":[0.999606,0.00006912996,0.00001861717,0.00003913184,0.0002421824,0.00002502909],"domain_scores_gemma":[0.9994178,0.0002514808,0.00004651004,0.0001453471,0.0001041531,0.00003481163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001173054,0.0000534647,0.0007946737,0.0002109995,0.00002456152,0.0002580282,0.0005838315,0.3844667,0.03328216,0.469546,0.004025085,0.1066372],"study_design_scores_gemma":[0.0000162891,0.00003195912,0.00006752295,0.00001638017,0.000003158581,0.00006726304,0.00001999129,0.9413058,0.003666215,0.04579917,0.008999325,0.000007015389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005586466,0.0000710438,0.9890188,0.00006904726,0.00003336017,0.00005048831,0.00003188081,0.0004658764,0.004673074],"genre_scores_gemma":[0.2320286,0.0003646116,0.7559603,0.0001786702,0.00007107639,0.000301687,0.0002519605,0.0007752712,0.01006781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005359085,"threshold_uncertainty_score":0.01792794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472973393175682,"score_gpt":0.2590749610776701,"score_spread":0.2343452271459133,"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."}}