{"id":"W4385275470","doi":"10.1145/3592404","title":"Fast Complementary Dynamics via Skinning Eigenmodes","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Skinning; Subspace topology; Solver; Computer science; Eigenvalues and eigenvectors; Algorithm; Parameterized complexity; Linear subspace; Applied mathematics; Mathematics; Mathematical optimization; Artificial intelligence; Geometry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001086227,0.0001575221,0.0001495609,0.0004787292,0.0002533642,0.00003017337,0.0002268485,0.00006957883,0.0000752224],"category_scores_gemma":[0.000002997437,0.0001728043,0.0001671612,0.001091479,0.00003123474,0.00008119237,0.000004120659,0.0002814679,0.00009957331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004602151,"about_ca_system_score_gemma":0.000005132722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005633106,"about_ca_topic_score_gemma":0.0003960517,"domain_scores_codex":[0.9991479,0.0000150592,0.0002010262,0.0001761686,0.0001896075,0.0002702708],"domain_scores_gemma":[0.9994246,0.00007346567,0.00001400621,0.0003911937,0.0000286856,0.00006802943],"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":[0.000002716132,0.00002552132,0.0001449096,0.00002873153,0.0001957694,0.000005644453,0.000272807,0.9491919,0.0001956473,0.0001184793,0.0001913396,0.04962651],"study_design_scores_gemma":[0.0001354667,0.00001848203,0.0002340586,0.00002089319,0.00007579289,0.000002370384,0.0003183485,0.9955937,0.0003747207,0.002872722,0.0001619851,0.0001914397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07828879,0.00003546452,0.9197111,0.0003599117,0.0002140687,0.00005494197,0.0000937782,0.001000743,0.0002411585],"genre_scores_gemma":[0.9971781,0.0003664431,0.002045747,0.0001097702,0.00002793358,0.00001330621,0.0001280594,0.00004595526,0.00008470301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9188893,"threshold_uncertainty_score":0.7046756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072650126399447,"score_gpt":0.2429425520474393,"score_spread":0.2222160507834449,"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."}}