{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002934459,0.0002298561,0.0001964336,0.0004130057,0.0003521075,0.0004156745,0.0006768692,0.0001616493,0.00003340169],"category_scores_gemma":[0.000008692241,0.0002302361,0.0001613524,0.001023316,0.00004328906,0.0005533565,0.0002316389,0.0002612925,0.0004884118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002462102,"about_ca_system_score_gemma":0.00005247135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001046992,"about_ca_topic_score_gemma":0.00008743586,"domain_scores_codex":[0.9981,0.000118788,0.0002991735,0.0006408794,0.0004049427,0.00043619],"domain_scores_gemma":[0.9987844,0.0001455621,0.0001093046,0.0006935212,0.0001323751,0.0001348758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001925076,0.0003047488,0.004707843,0.00003181578,0.0001618562,0.0002350998,0.0006780079,0.001504822,0.006536214,0.3332103,0.505949,0.146661],"study_design_scores_gemma":[0.0007804903,0.0001548493,0.01178976,0.00004443574,0.00001646187,0.00001139705,0.000009043722,0.852707,0.007264727,0.06024011,0.0664687,0.0005130419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09262711,0.0000399946,0.901561,0.002090189,0.002110924,0.0002493276,0.00002082301,0.001021129,0.0002795141],"genre_scores_gemma":[0.9550993,0.00005070538,0.03535894,0.007340973,0.001081247,0.00005219471,0.0007941268,0.00003999492,0.0001824988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8662021,"threshold_uncertainty_score":0.9388755,"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."}}