{"id":"W3122206733","doi":"10.1145/3411764.3445162","title":"Soloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio Processing","year":2021,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Guitar; Visualization; Formative assessment; Audio equipment; Musical instrument; Audio feedback; Musical; Domain (mathematical analysis); Audio signal processing","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":[0.0008283305,0.001487146,0.0003643317,0.000793607,0.0002476537,0.0008677618,0.001967045,0.0006665025,0.00795184],"category_scores_gemma":[0.003395481,0.0003012734,0.0006087126,0.0002097911,0.0003133899,0.001131429,0.001645428,0.0006191632,0.002077863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003257531,"about_ca_system_score_gemma":0.0004545024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007590062,"about_ca_topic_score_gemma":0.001926176,"domain_scores_codex":[0.9996705,0.00009144779,0.0000176387,0.0001127732,0.00006368353,0.00004403462],"domain_scores_gemma":[0.9989654,0.0006268845,0.0000601626,0.00009034009,0.0001286401,0.0001286831],"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":[0.001137411,0.001595954,0.005158315,0.002200271,0.0001704915,0.001498407,0.002663024,0.03622791,0.1474573,0.005325446,0.02453078,0.7720348],"study_design_scores_gemma":[0.0005444043,0.002778384,0.007391975,0.0002985291,0.0001416396,0.001500384,0.001271266,0.616075,0.2638465,0.0116961,0.09424103,0.0002148154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08111649,0.0003190267,0.845498,0.0001595364,0.00009444271,0.001158782,0.001740413,0.06440518,0.005508072],"genre_scores_gemma":[0.2808988,0.0002701598,0.699427,0.0001637872,0.0000344809,0.001502276,0.005312182,0.00318961,0.009201604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00795184,"threshold_uncertainty_score":0.02660149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07301881412505075,"score_gpt":0.2910219754344782,"score_spread":0.2180031613094275,"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."}}