{"id":"W4408046990","doi":"10.36227/techrxiv.174077177.78767136/v1","title":"Deep Learning for Optical Music Recognition: A Review","year":2025,"lang":"en","type":"review","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Speech recognition; Psychology","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":[0.0005072908,0.0002958031,0.001309793,0.0001133723,0.0001733989,0.0001901401,0.0008147518,0.0001609208,0.0001840102],"category_scores_gemma":[0.0004638474,0.0002201835,0.0005390597,0.0006761855,0.00002268071,0.0001945508,0.000295856,0.0003455478,0.0001696768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003993726,"about_ca_system_score_gemma":0.0004081258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.759348e-7,"about_ca_topic_score_gemma":6.115548e-7,"domain_scores_codex":[0.9982937,0.00007912091,0.0005501703,0.000616473,0.0001655683,0.000294994],"domain_scores_gemma":[0.9985998,0.0005857259,0.0002343547,0.0003727177,0.0001292037,0.00007822821],"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":[7.750475e-8,0.000006664695,2.768195e-9,0.153319,0.00001558027,0.000002317367,0.000003804611,7.049128e-8,2.048161e-9,0.001546805,0.008420109,0.8366855],"study_design_scores_gemma":[0.0000401219,0.0000164057,5.530319e-9,0.16603,0.0002605541,0.0000268275,5.415071e-7,0.0002632137,1.17746e-7,0.0004577428,0.8326747,0.0002297617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.434022e-10,0.537086,0.4465735,0.0002198192,0.0001773397,0.0004521576,3.645611e-7,0.000109785,0.01538107],"genre_scores_gemma":[3.020747e-9,0.8867116,0.1058352,0.003151464,0.000176803,0.00034714,0.0000389929,0.00001244571,0.003726371],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8364558,"threshold_uncertainty_score":0.8978824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074663739707231,"score_gpt":0.3505529362622311,"score_spread":0.2430865622915079,"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."}}