{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019655,0.0005809773,0.0004196089,0.000335731,0.0003216318,0.0003946727,0.0008388362,0.0006880875,0.009655829],"category_scores_gemma":[0.0009814916,0.000312735,0.0004441405,0.0002730872,0.0002627559,0.0003265074,0.0007448881,0.0006865066,0.001081568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004054167,"about_ca_system_score_gemma":0.0005644277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797738,"about_ca_topic_score_gemma":0.003644163,"domain_scores_codex":[0.9998534,0.0000325943,0.000008189157,0.00001883052,0.00007674837,0.0000102529],"domain_scores_gemma":[0.9998258,0.00008579776,0.00001190289,0.00002739676,0.0000321568,0.00001693328],"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":[0.0001302197,0.00005305349,0.0007372724,0.000215996,0.00005089392,0.0002911702,0.0001223651,0.8715137,0.04859219,0.01675267,0.003477154,0.05806337],"study_design_scores_gemma":[0.00002771217,0.00002255071,0.0001510628,0.00001079572,0.000006479385,0.00007834112,0.000006200221,0.9869701,0.004041468,0.002419474,0.006258945,0.000006941998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02776462,0.0002858984,0.9540739,0.0002087644,0.0001004669,0.0001063301,0.0003918082,0.003983526,0.01308472],"genre_scores_gemma":[0.4496962,0.0007110042,0.5360556,0.0001369862,0.00004616682,0.0005415978,0.0007607979,0.0008734649,0.01117813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009655829,"threshold_uncertainty_score":0.03230196,"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."}}