{"id":"W2212606236","doi":"10.7287/peerj.preprints.1193v1","title":"Isolated instrument transcription using a deep belief network","year":2015,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Polyphony; Transcription (linguistics); Guitar; Computer science; Speech recognition; Artificial intelligence; Acoustics","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":[0.0002047413,0.0000818164,0.00008841935,0.0000306383,0.0001010763,0.0001531833,0.0002600458,0.00004019161,0.00001898239],"category_scores_gemma":[0.000004154413,0.00006944683,0.00002663554,0.0003255698,0.00001519803,0.0005360203,0.00006126173,0.00006338124,0.00002423531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000046668,"about_ca_system_score_gemma":0.00007521732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000385343,"about_ca_topic_score_gemma":0.00001087426,"domain_scores_codex":[0.9992267,0.00002633454,0.000145302,0.0001989515,0.0001738809,0.0002288256],"domain_scores_gemma":[0.9996099,0.000005144619,0.00004326223,0.0001764928,0.00005531842,0.0001098958],"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":[0.00003192935,0.000155934,0.001114392,0.00003429163,0.00004665291,0.00002689243,0.006917809,0.02972393,0.006932808,0.05300789,0.00758013,0.8944274],"study_design_scores_gemma":[0.0003282087,0.00005185628,0.00007484548,0.00002545708,0.000004805352,0.00002204466,0.00003537409,0.987255,0.000439073,0.006178618,0.005449217,0.0001354794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02746005,0.0001811586,0.9660645,0.0006700564,0.0004456431,0.00005755706,5.054497e-8,0.0001608147,0.004960143],"genre_scores_gemma":[0.820879,0.000002371203,0.1772536,0.001576355,0.0001253353,0.000001563128,6.439934e-7,0.000004584719,0.0001566194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9575311,"threshold_uncertainty_score":0.2831959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05863596968851905,"score_gpt":0.2512238091087756,"score_spread":0.1925878394202565,"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."}}