{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080033,0.001231499,0.0009345863,0.0006682248,0.0004042745,0.001018015,0.002768731,0.00110954,0.008358687],"category_scores_gemma":[0.002852381,0.0005084722,0.001089312,0.0004650699,0.0005710198,0.001885231,0.002636123,0.001532008,0.00323001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007474822,"about_ca_system_score_gemma":0.001314738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004036241,"about_ca_topic_score_gemma":0.007598056,"domain_scores_codex":[0.9995228,0.00009363428,0.0000245334,0.0001534468,0.0001396985,0.00006589992],"domain_scores_gemma":[0.9995564,0.0001721789,0.0000252058,0.0001173097,0.00008345529,0.00004545923],"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":[0.0008600237,0.0003650508,0.001883072,0.0004546609,0.0001504023,0.0003628758,0.0002473785,0.1727213,0.0273872,0.02541153,0.04171741,0.7284391],"study_design_scores_gemma":[0.00006430987,0.0001318588,0.0002786644,0.00002649409,0.00002842016,0.0001513528,0.00002861194,0.9629285,0.01498111,0.009804738,0.01154614,0.00002991023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01514693,0.0007334516,0.9548018,0.00042849,0.000355372,0.0003231251,0.001888162,0.01892811,0.007394566],"genre_scores_gemma":[0.3564826,0.0005769572,0.6051361,0.0009110198,0.0001953198,0.001153996,0.009064242,0.002125581,0.02435418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008358687,"threshold_uncertainty_score":0.02796257,"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."}}