{"id":"W3160127159","doi":"10.1111/cgf.142654","title":"Velocity Skinning for Real‐time Stylized Skeletal Animation","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Executive Agency; European Commission; McGill University","keywords":"Stylized fact; Skinning; Computer graphics (images); Animation; Computer science; Non-photorealistic rendering; Computer animation; Computer vision; Computer facial animation; Engineering; Keynesian economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003266549,0.0006655898,0.0003791597,0.0004317261,0.0002552686,0.0007173243,0.000627939,0.0005569819,0.008415078],"category_scores_gemma":[0.001228171,0.0003973563,0.0003850637,0.0002417356,0.0006018941,0.000528816,0.001165217,0.0008392216,0.001521222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763955,"about_ca_system_score_gemma":0.0002206284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005500388,"about_ca_topic_score_gemma":0.0007049496,"domain_scores_codex":[0.9997556,0.0000439092,0.00001139058,0.00004569027,0.000116274,0.00002705831],"domain_scores_gemma":[0.9997038,0.0001139921,0.00002447278,0.00008559232,0.00003836126,0.00003378419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002583215,0.00007388588,0.0006201653,0.0002838341,0.00004492205,0.0003496857,0.0004919458,0.2440294,0.4034098,0.04542081,0.004653711,0.3003635],"study_design_scores_gemma":[0.0000250781,0.00006317856,0.0002780918,0.00002681458,0.000009490518,0.0002110563,0.00003110892,0.9109714,0.06255495,0.009214612,0.01658724,0.00002708731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01525071,0.0001076647,0.9772558,0.00004600481,0.00008552191,0.00004259675,0.00003706874,0.002590905,0.004583763],"genre_scores_gemma":[0.4547167,0.0002128837,0.5352004,0.00008282343,0.00005770494,0.00008174789,0.0001525928,0.001579326,0.007915797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008415078,"threshold_uncertainty_score":0.02815121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175145475432313,"score_gpt":0.2275673391473215,"score_spread":0.2158158843929984,"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."}}