{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005897679,0.0007618911,0.0004491465,0.0003578276,0.000334276,0.0008496775,0.001205024,0.001069573,0.003436723],"category_scores_gemma":[0.002154983,0.0004142836,0.0004601105,0.000378225,0.0004196201,0.001102795,0.0009171981,0.001856136,0.001355577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008880427,"about_ca_system_score_gemma":0.0007325232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007938129,"about_ca_topic_score_gemma":0.0111625,"domain_scores_codex":[0.9996529,0.00007314438,0.00001332777,0.0001318915,0.00008007409,0.00004863682],"domain_scores_gemma":[0.9993137,0.000352592,0.00005270102,0.00007115462,0.000169807,0.00004016783],"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":[0.0003529047,0.0001208912,0.0008758007,0.0001079793,0.00006458614,0.0001340412,0.0001153797,0.5896456,0.01714596,0.003115477,0.003458056,0.3848633],"study_design_scores_gemma":[0.000005585877,0.00001434958,0.00006310074,0.000004610021,0.000004048343,0.000006236354,0.000007295738,0.9970425,0.001547489,0.00104954,0.0002525866,0.000002705596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03274302,0.0003331279,0.9609495,0.0003351304,0.00007403381,0.00004042799,0.0002055019,0.002881422,0.002437742],"genre_scores_gemma":[0.6770435,0.0002938825,0.3105085,0.0003240187,0.00009220214,0.00009783467,0.001172869,0.0002164975,0.01025077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007938129,"threshold_uncertainty_score":0.01578385,"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."}}