{"id":"W4409362477","doi":"10.1609/aaai.v39i24.34752","title":"UniMuMo: Unified Text, Music, and Motion Generation","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Human Motion and Animation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Motion (physics); Computer science; Artificial intelligence","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":[0.0001563514,0.0001087836,0.0001072545,0.0001128367,0.0001090003,0.00009390907,0.0001692403,0.00006079024,0.00009063896],"category_scores_gemma":[0.00008183665,0.00009135693,0.00003103875,0.0002642058,0.00008496241,0.0001502467,0.00003421766,0.0001310625,0.00002377897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003163814,"about_ca_system_score_gemma":0.00001293179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006295457,"about_ca_topic_score_gemma":0.00001529223,"domain_scores_codex":[0.9993495,0.000005995329,0.0002579414,0.0001515714,0.0001225563,0.000112385],"domain_scores_gemma":[0.9996356,0.0000149098,0.00005855789,0.00007524207,0.0001889279,0.00002676726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007702621,0.00002177447,0.00005657882,0.00005632042,0.00000767677,3.222819e-8,0.0003940983,0.0005023889,0.2730397,0.6531361,0.0004132789,0.07236434],"study_design_scores_gemma":[0.0000270625,0.00003216686,0.0008644657,0.0001469811,0.00001438065,5.817296e-7,0.0003960941,0.3675802,0.5857355,0.04479352,0.0002869722,0.0001221],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338741,0.00003457269,0.0188694,0.001052856,0.0004781774,0.0003200324,0.000003344244,0.0001614882,0.04520599],"genre_scores_gemma":[0.9992229,0.00004854927,0.0001804043,0.00008316794,0.00004967565,0.000009435302,0.000001348466,0.000007360548,0.0003971129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6083426,"threshold_uncertainty_score":0.3725427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07050037426385194,"score_gpt":0.2688250353176486,"score_spread":0.1983246610537966,"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."}}