{"id":"W4413146016","doi":"10.1109/cvpr52734.2025.00527","title":"ControlFace: Harnessing Facial Parametric Control for Face Rigging","year":2025,"lang":"en","type":"article","venue":"","topic":"Facial Nerve Paralysis Treatment and Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Korea Creative Content Agency; National Research Foundation","keywords":"Face (sociological concept); Computer science; Parametric statistics; Computer vision; Control (management); Artificial intelligence; 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":[0.0006991929,0.001013416,0.0004450451,0.0004582367,0.0002978562,0.0007877583,0.001161732,0.0007138647,0.004715347],"category_scores_gemma":[0.001934033,0.0004162012,0.0005509665,0.0001996012,0.000846396,0.0007772797,0.001494639,0.001210282,0.0009581101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004758457,"about_ca_system_score_gemma":0.0005368405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553873,"about_ca_topic_score_gemma":0.004851633,"domain_scores_codex":[0.9996157,0.00005095496,0.00001150054,0.0001217056,0.0001578848,0.00004223743],"domain_scores_gemma":[0.9996874,0.0001174996,0.00003352582,0.00008668676,0.00004786316,0.00002697163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003147617,0.0001289498,0.001594583,0.0001705764,0.00006851103,0.0002207458,0.0003221582,0.2763684,0.1190427,0.01384191,0.008893479,0.579033],"study_design_scores_gemma":[0.00001963378,0.00009285832,0.0003238333,0.00001956998,0.00001010729,0.0001172333,0.00003436971,0.9683746,0.02144594,0.004956923,0.004585122,0.00001981245],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01559206,0.0001938986,0.9776624,0.0001007138,0.00008319901,0.00007730877,0.00008336875,0.002988424,0.003218616],"genre_scores_gemma":[0.5334631,0.0002900926,0.4559344,0.0004499831,0.00007678893,0.0002481083,0.0004324289,0.001316352,0.007788784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004715347,"threshold_uncertainty_score":0.01577443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692983269249846,"score_gpt":0.3604793474647439,"score_spread":0.3335495147722455,"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."}}