{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003794954,0.0006918652,0.0005460029,0.0004957575,0.0004147314,0.0008587259,0.0008291301,0.0009046463,0.006701695],"category_scores_gemma":[0.001282547,0.0004583321,0.0006192261,0.0003509369,0.0008242638,0.001371964,0.00203206,0.001002356,0.001527085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003677685,"about_ca_system_score_gemma":0.0006350363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365306,"about_ca_topic_score_gemma":0.002252997,"domain_scores_codex":[0.9997765,0.00004853561,0.000008195683,0.00003249026,0.0001094998,0.00002467986],"domain_scores_gemma":[0.9996939,0.0001241098,0.00003043798,0.00006053153,0.0000493126,0.00004182585],"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":[0.0000664371,0.00006115058,0.0006432004,0.00009563476,0.00004247711,0.0001639536,0.0002946458,0.8070416,0.02396989,0.09361605,0.002370493,0.07163443],"study_design_scores_gemma":[0.000004652626,0.000007569767,0.00002433994,0.000003880051,0.000001061231,0.00001917881,0.00001176535,0.9889921,0.001214306,0.008128099,0.001587596,0.000005556751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01089564,0.00004526903,0.9849241,0.00007231184,0.00003465526,0.00003144945,0.00004032186,0.0005031161,0.003453317],"genre_scores_gemma":[0.4488984,0.000215205,0.5375627,0.0001454567,0.00005504622,0.0002225903,0.0002124377,0.0009267567,0.01176131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006701695,"threshold_uncertainty_score":0.02241945,"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."}}