{"id":"W4411712554","doi":"10.23977/jaip.2025.080220","title":"An Analysis of the Role of Artificial Intelligence in the Personalized Development of Instrumental Music Learning in Colleges and Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Instrumental music; Psychology; Personalized learning; Mathematics education; Computer science; Teaching method; Visual arts; Art; Musical; Cooperative learning","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":[0.001169835,0.0001018829,0.0001192365,0.001042744,0.0005698256,0.001441379,0.0003130909,0.0002892712,0.001413736],"category_scores_gemma":[0.005745783,0.0001000121,0.0001839652,0.001090921,0.0005623418,0.001069194,0.0007826228,0.0003111297,0.0001500466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202539,"about_ca_system_score_gemma":0.001331473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003904263,"about_ca_topic_score_gemma":0.00484472,"domain_scores_codex":[0.9990625,0.0004252249,0.00004211012,0.000101747,0.0002362563,0.0001320705],"domain_scores_gemma":[0.9958116,0.002477277,0.0004655798,0.0002300268,0.0004702873,0.0005452832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004683507,0.0005802067,0.6111415,0.0002410327,0.00007624608,0.0006271964,0.0155681,0.00644444,0.007972538,0.0242478,0.0006816643,0.3319509],"study_design_scores_gemma":[0.000009023249,0.0002476939,0.9612792,0.00004689459,0.00005637153,0.0002443627,0.009101489,0.01736877,0.002801275,0.003701836,0.005120406,0.00002271358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839275,0.0003041753,0.002120154,0.0002509103,0.000003206032,0.00002308536,0.00001918537,0.00002179902,0.01333006],"genre_scores_gemma":[0.9991315,0.00007851791,0.0004044944,0.000007148615,0.00000120611,0.000003306531,0.00000596944,0.000001595114,0.0003663457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003904263,"threshold_uncertainty_score":0.008725047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04185988501894339,"score_gpt":0.3511017627734184,"score_spread":0.309241877754475,"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."}}