{"id":"W1979292301","doi":"10.1145/2159516.2159519","title":"Spacetime expression cloning for blendshapes","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Retargeting; Animation; Computer science; Computer facial animation; Expression (computer science); Computer vision; Computer animation; Artificial intelligence; Computer graphics (images)","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":[0.0000953028,0.00009775899,0.00007531927,0.0001465432,0.0001620157,0.0000194882,0.00008090413,0.0000761491,0.0001723547],"category_scores_gemma":[0.000009951481,0.00009872114,0.00008484855,0.0001297598,0.00001405165,0.0002211797,9.30658e-7,0.0001351313,0.00004457994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001692094,"about_ca_system_score_gemma":0.000002806992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.398235e-7,"about_ca_topic_score_gemma":0.000003303216,"domain_scores_codex":[0.9995167,0.00001041743,0.0001107489,0.00007675876,0.00008856912,0.0001967852],"domain_scores_gemma":[0.9996461,0.00006946186,0.00001404909,0.0001758408,0.00002075242,0.00007375461],"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":[0.0002261626,0.001797227,0.002170892,0.001423824,0.0005774467,0.000002343949,0.01299579,0.1481012,0.5160641,0.03534694,0.02136348,0.2599306],"study_design_scores_gemma":[0.00393494,0.0004841294,0.01671805,0.0006132823,0.0003022677,0.00002843531,0.001131529,0.1137752,0.5910653,0.01106801,0.2587085,0.002170341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07585555,0.0001445248,0.9217832,0.000196467,0.0005089886,0.0001786547,0.00002244186,0.0005087734,0.0008014027],"genre_scores_gemma":[0.9921201,0.0000783741,0.007422514,0.00007721211,0.0000881804,0.00005179987,0.00001080853,0.0000286412,0.000122406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9162645,"threshold_uncertainty_score":0.4025731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721888148816482,"score_gpt":0.252389406576521,"score_spread":0.2251705250883562,"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."}}