{"id":"W4400819487","doi":"10.1145/3658172","title":"S3: Speech, Script and Scene driven Head and Eye Animation","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Computer science; Animation; Computer graphics (images); Head (geology); Computer facial animation; Artificial intelligence; Computer vision; Computer animation; Speech recognition","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":[0.0004691945,0.00116602,0.0005170716,0.0006824252,0.0003537277,0.0008946958,0.001069986,0.0009243213,0.01371607],"category_scores_gemma":[0.001939475,0.000484173,0.0008704736,0.0002848901,0.0005779311,0.0006150901,0.001741013,0.0008056505,0.003838193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003853425,"about_ca_system_score_gemma":0.0004771677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482056,"about_ca_topic_score_gemma":0.004816993,"domain_scores_codex":[0.9996891,0.00005354012,0.00001352909,0.000101717,0.0001102037,0.00003185474],"domain_scores_gemma":[0.9996186,0.0001386359,0.00002140454,0.00008719767,0.00008152596,0.00005255376],"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":[0.001045965,0.0001966078,0.002444054,0.0009189579,0.0002157651,0.0006257229,0.001442903,0.06453171,0.2135891,0.01258807,0.04517999,0.6572211],"study_design_scores_gemma":[0.0001133577,0.0002290752,0.001443665,0.00007543216,0.00005429393,0.000538167,0.0002415174,0.8438613,0.09158763,0.007203153,0.05458979,0.0000625184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03267248,0.0002930304,0.9059378,0.0002076302,0.0002594546,0.0003291907,0.001251092,0.04749309,0.01155619],"genre_scores_gemma":[0.2564483,0.0003001477,0.7183735,0.0002397653,0.0001000369,0.0003544822,0.003601704,0.005600142,0.01498195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01371607,"threshold_uncertainty_score":0.04588485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961347895113761,"score_gpt":0.2959048077076894,"score_spread":0.2762913287565518,"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."}}