{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002935384,0.0002463157,0.0003240942,0.00004102375,0.0008170541,0.0007682327,0.0004910218,0.0001079635,0.0001716667],"category_scores_gemma":[0.0004486661,0.0002326752,0.00008888778,0.0005141436,0.00006004219,0.001879582,0.0004484002,0.000225723,0.00003826331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009404642,"about_ca_system_score_gemma":0.0007591851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007002387,"about_ca_topic_score_gemma":0.00003565291,"domain_scores_codex":[0.9976047,0.0001358684,0.0005436961,0.0008034157,0.000500693,0.0004115718],"domain_scores_gemma":[0.998603,0.0002188043,0.0003064273,0.0003248925,0.000458901,0.00008790664],"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":[0.00001170123,0.0001847086,0.000737365,0.0001895628,0.0001643395,0.000348676,0.01298098,0.001575339,0.1173354,0.170265,0.01064155,0.6855654],"study_design_scores_gemma":[0.00197329,0.00007393895,0.001444421,0.0009909496,0.00007481866,0.0003121271,0.001986653,0.2281051,0.5535331,0.1579256,0.05156067,0.002019304],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04142882,0.0008801721,0.9298526,0.001408878,0.002007374,0.00007766449,0.000007834186,0.0003532971,0.02398336],"genre_scores_gemma":[0.2722725,0.000007015864,0.7223237,0.002852145,0.002125963,0.00001569051,0.00002187978,0.00001699536,0.000364176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.683546,"threshold_uncertainty_score":0.9488221,"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."}}