{"id":"W2064488391","doi":"10.1145/1360612.1360682","title":"Musculotendon simulation for hand animation","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Animation; Computer science; Pipeline (software); Interactive skeleton-driven simulation; Computer facial animation; Computer graphics (images); Character animation; Computer animation; Skeletal animation; Character (mathematics)","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":[0.00005905546,0.00009937184,0.00008012118,0.000192298,0.0003363505,0.00002224713,0.00006791443,0.00007850607,0.00005603358],"category_scores_gemma":[0.00001861487,0.0001079829,0.0000975205,0.0001997744,0.00003315892,0.0001938936,4.728709e-7,0.0001027768,0.00002702319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002718041,"about_ca_system_score_gemma":0.000006151646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001688256,"about_ca_topic_score_gemma":0.00001639685,"domain_scores_codex":[0.9994859,0.00001088271,0.0001646421,0.0001076526,0.000114501,0.0001164079],"domain_scores_gemma":[0.9996029,0.00009531994,0.000019638,0.0001804732,0.00006132529,0.00004032629],"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":[0.0000386509,0.00009021577,0.000029943,0.00008408322,0.00004625874,8.121064e-7,0.000835881,0.9735914,0.004595408,0.001080043,0.0003043146,0.01930296],"study_design_scores_gemma":[0.001701662,0.0001692557,0.007579321,0.00003035049,0.00004119615,0.000006989178,0.00004378866,0.9690186,0.006426014,0.002866876,0.01181765,0.0002983108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1281268,0.0000187509,0.8708228,0.00008996945,0.0001772306,0.0002471272,0.00001786744,0.0002935193,0.0002058427],"genre_scores_gemma":[0.9968359,0.00009897451,0.002750641,0.00007097513,0.00004204188,0.00005270756,0.00003179484,0.00002554418,0.00009135668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8687091,"threshold_uncertainty_score":0.4403414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199620589354461,"score_gpt":0.2595518972079092,"score_spread":0.2175556913143646,"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."}}