{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551542,0.0001321946,0.0001015351,0.0003081807,0.0002946234,0.0002822223,0.0003068655,0.00006742535,0.000009149686],"category_scores_gemma":[0.00002067137,0.0001305889,0.00004365338,0.0006886687,0.00008664525,0.000380303,0.00001811782,0.0003606554,0.00002633182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001881005,"about_ca_system_score_gemma":0.00002680066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002081971,"about_ca_topic_score_gemma":0.00008443255,"domain_scores_codex":[0.9990431,0.00004707143,0.0001507143,0.0004231295,0.0001785006,0.0001574692],"domain_scores_gemma":[0.9991505,0.0001541602,0.00002431304,0.0005346676,0.00004023657,0.00009610548],"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":[0.00001207337,0.0002209506,0.004113154,0.0001890827,0.0001134459,0.00001823712,0.001879033,0.0009276402,0.005452409,0.131206,0.0002842176,0.8555837],"study_design_scores_gemma":[0.0003942099,0.000220422,0.08260541,0.0001510823,0.00005566729,0.00007382813,0.00002919434,0.8688389,0.00112063,0.03496913,0.01114962,0.0003918924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1261495,0.0003287052,0.8570954,0.01536859,0.0001835606,0.00020709,0.00001189618,0.0004948404,0.0001603948],"genre_scores_gemma":[0.9106472,0.0002838891,0.08847313,0.0004447325,0.0000216086,0.00003391491,0.000003384023,0.00001424005,0.00007794096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8679113,"threshold_uncertainty_score":0.5325261,"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."}}