{"id":"W4321351659","doi":"10.1111/cgf.14734","title":"ZeroEGGS: Zero‐shot Example‐based Gesture Generation from Speech","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ubisoft (Canada); York University","funders":"","keywords":"Computer science; Gesture; Naturalness; Motion (physics); Flexibility (engineering); Embedding; Artificial intelligence; Variety (cybernetics); Speech recognition; Natural language processing; 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":[0.00059131,0.0009470982,0.0005639378,0.000473676,0.0002071204,0.0005931601,0.001666038,0.0009263624,0.01006878],"category_scores_gemma":[0.001857322,0.0004076007,0.0007158902,0.0003265606,0.0005039724,0.0008542101,0.001281446,0.0009984286,0.002525055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000522736,"about_ca_system_score_gemma":0.0004499927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005031261,"about_ca_topic_score_gemma":0.009937938,"domain_scores_codex":[0.999589,0.00008328993,0.00001608185,0.0001659769,0.0001047811,0.000040867],"domain_scores_gemma":[0.9996877,0.000146023,0.00001347067,0.00007790342,0.00004534638,0.00002957735],"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":[0.0008365617,0.0002275927,0.001713926,0.0003861659,0.0001461589,0.0003058281,0.0002126666,0.2420796,0.03883231,0.008473723,0.03346146,0.673324],"study_design_scores_gemma":[0.00005019668,0.00007907528,0.0005023173,0.00002401467,0.00001127842,0.00006860771,0.00001847291,0.9787645,0.01015729,0.005512432,0.004790954,0.00002077017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04863673,0.001186101,0.907287,0.0003736045,0.0004993084,0.000336143,0.003507901,0.02908743,0.009085774],"genre_scores_gemma":[0.5503505,0.0005050143,0.4168233,0.0005085162,0.0001071479,0.0004976886,0.00948134,0.001960023,0.01976644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01006878,"threshold_uncertainty_score":0.03368342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07069636963055777,"score_gpt":0.268890957320474,"score_spread":0.1981945876899163,"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."}}