{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007439242,0.0001387487,0.0001468111,0.000295214,0.0001664599,0.00003353351,0.0001728213,0.0000925693,0.00002286623],"category_scores_gemma":[0.00002002014,0.0001336743,0.000187928,0.0007646969,0.00003513324,0.00005061833,0.000001372639,0.0001621733,0.00001949651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001469111,"about_ca_system_score_gemma":0.000009381113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002332875,"about_ca_topic_score_gemma":0.00001800966,"domain_scores_codex":[0.9993091,0.000008907465,0.0001670702,0.000154202,0.0001382097,0.0002225139],"domain_scores_gemma":[0.9994017,0.0001436072,0.00001718841,0.0003215364,0.00005757509,0.00005836664],"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":[0.00002018889,0.00004504086,0.00002975012,0.0002082668,0.000544097,0.000009885463,0.0007205556,0.9403886,0.0006461928,0.0004013139,0.001958996,0.05502714],"study_design_scores_gemma":[0.0005300856,0.00007951436,0.0001343319,0.00005472725,0.0003140483,0.000004662693,0.0003436774,0.9632376,0.006753652,0.02612553,0.00201729,0.0004049252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0694254,0.0001735338,0.9273918,0.0005618539,0.0004388556,0.0002553026,0.000216064,0.001418659,0.0001185176],"genre_scores_gemma":[0.9898712,0.0002178702,0.009478698,0.00005749486,0.00003397007,0.00009675248,0.00005018194,0.00004637099,0.0001474747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9204458,"threshold_uncertainty_score":0.5451079,"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."}}