{"id":"W4414361101","doi":"10.24963/ijcai.2024/1127","title":"GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework","year":2024,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Representation (politics); Masking (illustration); Generative model; Track (disk drive); Generative grammar; Musical; Embedding","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":[0.0007269239,0.0008849954,0.0007465123,0.0006567652,0.0004527455,0.0009875896,0.001775486,0.001114027,0.003338725],"category_scores_gemma":[0.001812414,0.0005149071,0.001036269,0.0006233289,0.0006602649,0.001299715,0.001763492,0.001644543,0.001285995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006532535,"about_ca_system_score_gemma":0.0009892012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00594956,"about_ca_topic_score_gemma":0.009580881,"domain_scores_codex":[0.9996036,0.00006578267,0.00001771226,0.0001459429,0.0001198545,0.00004709802],"domain_scores_gemma":[0.9995866,0.0001745341,0.0000415693,0.00009010948,0.00005961908,0.00004752264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002620452,0.0001531511,0.001359394,0.00015895,0.00009909049,0.0002399194,0.0002954052,0.5338328,0.03340073,0.03944673,0.005527609,0.3852242],"study_design_scores_gemma":[0.00001804691,0.00004106785,0.0001446486,0.000006706407,0.00001035983,0.00006894113,0.00001368682,0.9870411,0.003647635,0.006380234,0.002612885,0.00001462576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006149904,0.0001964095,0.9900292,0.000121015,0.00003873919,0.00003811292,0.0001295887,0.001974707,0.001322381],"genre_scores_gemma":[0.3204009,0.0005665252,0.6656986,0.0003020993,0.0001155215,0.000213967,0.001662922,0.0008740305,0.01016528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00594956,"threshold_uncertainty_score":0.01182985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399809782070467,"score_gpt":0.2649797585018717,"score_spread":0.240981660681167,"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."}}