{"id":"W4225375697","doi":"10.24963/ijcai.2022/691","title":"Music-to-Dance Generation with Optimal Transport","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","topic":"Music and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dance; Choreography; Computer science; Electronic dance music; Rhythm; Artificial intelligence; Visual arts; Aesthetics; Art","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005656482,0.0002429405,0.0002350748,0.0002188231,0.0006023506,0.0002322786,0.002382261,0.00003960853,0.0003143988],"category_scores_gemma":[0.00008183983,0.000187153,0.0001098111,0.0007152322,0.0001407865,0.0005512949,0.0005191622,0.0004017744,0.00003274027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489245,"about_ca_system_score_gemma":0.000162116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004011741,"about_ca_topic_score_gemma":0.00002445984,"domain_scores_codex":[0.997261,0.00001562438,0.0005685606,0.0006395283,0.001208674,0.0003065465],"domain_scores_gemma":[0.9984714,0.00003061662,0.0004417571,0.0002568127,0.0006993336,0.0001000239],"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":[0.000167756,0.000301464,0.0003268906,0.00002947363,0.00004482012,0.000005390385,0.005166424,0.02075223,0.0402744,0.9062021,0.0008574582,0.02587153],"study_design_scores_gemma":[0.0001523558,0.0008638946,0.001006996,0.0003910287,0.00002817597,0.0001164571,0.001661442,0.3679352,0.5922875,0.03001941,0.004715446,0.0008220741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4350744,0.00001693343,0.5045496,0.03724942,0.002025813,0.000768777,0.00002949281,0.0001958519,0.02008968],"genre_scores_gemma":[0.9830011,0.000006064182,0.01452674,0.001727716,0.0001863863,0.0001156003,0.000002764293,0.00001632926,0.0004173577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8761827,"threshold_uncertainty_score":0.7631876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08363649097721516,"score_gpt":0.2648976207822843,"score_spread":0.1812611298050691,"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."}}