{"id":"W2957328186","doi":"10.1145/3306346.3322982","title":"Direct delta mush skinning and variants","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Skinning; Computer science; Simple (philosophy); Quality (philosophy); Algorithm; Image (mathematics); Artificial intelligence; 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":[0.0006760715,0.000776888,0.000664543,0.0006897384,0.0004242591,0.001152609,0.001668713,0.0006917026,0.006527189],"category_scores_gemma":[0.002220063,0.0004873368,0.0006246331,0.0006349385,0.001231726,0.001483342,0.002363596,0.001258817,0.001610518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003911997,"about_ca_system_score_gemma":0.0004857289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009042434,"about_ca_topic_score_gemma":0.001681962,"domain_scores_codex":[0.9994705,0.00005552364,0.00004372646,0.0001611774,0.0002134511,0.00005560015],"domain_scores_gemma":[0.9990968,0.0002999822,0.00005628957,0.0003018328,0.0001794148,0.00006573678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002684095,0.00008692176,0.001193028,0.0002393737,0.00003346955,0.0001758371,0.0002904422,0.1339532,0.03771418,0.04987621,0.003884193,0.7722847],"study_design_scores_gemma":[0.00004305905,0.0001322128,0.0003650503,0.00002992839,0.00001947314,0.0004571766,0.0001191615,0.9145636,0.04576758,0.02586812,0.01259869,0.00003589339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01091024,0.0001204486,0.9844095,0.00004474176,0.00004996447,0.00006254775,0.00001986703,0.001164373,0.003218362],"genre_scores_gemma":[0.2106721,0.0002541946,0.7804896,0.0001124126,0.00003304441,0.0000934717,0.000161019,0.0007522576,0.00743194],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006527189,"threshold_uncertainty_score":0.02183563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061781037320665,"score_gpt":0.2085999912832516,"score_spread":0.1979821809100449,"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."}}