{"id":"W6980117089","doi":"","title":"Automatic classification of playing techniques in Guitar Pro songs","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Guitar; Feature (linguistics); Identification (biology); Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001481999,0.0005485497,0.0007498433,0.0009649269,0.0005162875,0.0001591712,0.001722237,0.0006613354,0.00002955489],"category_scores_gemma":[0.0006667979,0.0005823192,0.0002091633,0.001738042,0.00004925377,0.001387617,0.0002398434,0.001047967,0.0001034359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004639984,"about_ca_system_score_gemma":0.0001596839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001768625,"about_ca_topic_score_gemma":0.0004172701,"domain_scores_codex":[0.9958425,0.0002262416,0.001291663,0.001114107,0.0009089655,0.0006165953],"domain_scores_gemma":[0.9971953,0.0002248752,0.001125831,0.0009608429,0.0003541442,0.0001389867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001326092,0.000125042,0.00005227365,0.001390552,0.00004074458,0.0000356771,0.0001046442,0.000004766824,0.09151803,0.05248149,0.00001628515,0.8542172],"study_design_scores_gemma":[0.001417093,0.0003802826,0.02526217,0.01273643,0.000197954,0.00004696388,0.001781267,0.01943739,0.7606718,0.1640876,0.01020995,0.003771136],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649338,0.0001438542,0.00004788826,0.00006284141,0.0008760846,0.000964703,0.00006310887,0.001343093,0.03156462],"genre_scores_gemma":[0.9738286,0.00007325171,0.02319393,0.0001157786,0.00003350102,0.0003284604,0.0002123471,0.0001305069,0.002083695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8504461,"threshold_uncertainty_score":0.9996628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381073674261473,"score_gpt":0.2792254167367498,"score_spread":0.245414679994135,"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."}}