{"id":"W7028960298","doi":"","title":"Hierarchical Approaches for Generating Stylistic Human Motions from Audio","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Gesture; Motion (physics); Dance; Motion capture; Focus (optics); Gesture recognition; Range (aeronautics); Ranging; Virtual actor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003776624,0.0002726152,0.0002715753,0.0002138016,0.0003004632,0.00009648613,0.0002310888,0.0002847041,0.01345871],"category_scores_gemma":[0.00001234169,0.0003458357,0.0001615587,0.0002051724,0.00001720649,0.0001274096,0.00002314997,0.00031308,0.00002631698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704611,"about_ca_system_score_gemma":0.00003826857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002664308,"about_ca_topic_score_gemma":0.001160516,"domain_scores_codex":[0.9990728,0.00004133522,0.0002140046,0.0003300878,0.0001218511,0.0002199348],"domain_scores_gemma":[0.9995967,0.00004284702,0.00006497271,0.0001717739,0.00004729444,0.00007645161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007802196,0.0001913914,0.0001087118,0.002318822,0.0008933528,0.00002901904,0.003193886,0.05962847,0.008082552,0.07895254,0.009678153,0.8368451],"study_design_scores_gemma":[0.003206107,0.000132876,0.004301767,0.00115764,0.001009307,0.000001044344,0.007500724,0.4063267,0.00119388,0.002131446,0.5710603,0.001978213],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0295405,0.0001488758,0.0961063,0.0000188648,0.0005578052,0.0005905873,0.0003452588,0.000551152,0.8721406],"genre_scores_gemma":[0.08944201,0.00002110999,0.006008083,0.00002305404,0.0003341706,0.00001303244,0.007168785,0.00008046169,0.8969093],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8348669,"threshold_uncertainty_score":0.9998994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368713045940535,"score_gpt":0.216823473229341,"score_spread":0.1831363427699356,"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."}}