{"id":"W4409603694","doi":"10.61091/jcmcc127b-182","title":"Design and implementation of a personalized vocal music teaching system assisted by artificial intelligence algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Singing; Speech recognition; Multimedia; Acoustics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002397945,0.0003652613,0.0004591656,0.0003354462,0.0003916458,0.0005530127,0.001236351,0.0006922253,0.004015645],"category_scores_gemma":[0.0003861015,0.0002237852,0.0003736755,0.000200665,0.0002154262,0.0005115555,0.0005255392,0.0004217866,0.00136747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391029,"about_ca_system_score_gemma":0.0006950049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002129345,"about_ca_topic_score_gemma":0.00183842,"domain_scores_codex":[0.9997404,0.00002984552,0.00002349618,0.00007805969,0.00008549763,0.00004272874],"domain_scores_gemma":[0.9998536,0.00001988801,0.00001680087,0.00002145028,0.00006457644,0.0000236017],"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":[0.0004652009,0.0005287985,0.003735582,0.0004396999,0.0001512276,0.0006976267,0.0003823492,0.08264918,0.2350487,0.008013203,0.008099155,0.6597893],"study_design_scores_gemma":[0.000120605,0.0003946044,0.002155783,0.00002758854,0.0001043751,0.0002949236,0.0000645146,0.9260259,0.05497143,0.001540392,0.01425641,0.00004339922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04285422,0.0002276293,0.9379508,0.0002436792,0.0001604269,0.0003476378,0.00007293866,0.007684955,0.01045771],"genre_scores_gemma":[0.6117227,0.000220675,0.3733833,0.0003249242,0.00006917566,0.0005130854,0.0001915318,0.000138275,0.01343628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004015645,"threshold_uncertainty_score":0.01343369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02861298579137879,"score_gpt":0.3013828542640594,"score_spread":0.2727698684726806,"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."}}