{"id":"W7134948557","doi":"10.31652/2412-1142-2025-78-364-376","title":"ЗАРУБІЖНИЙ ДОСВІД ПІДГОТОВКИ ВЧИТЕЛІВ МУЗИЧНОГО МИСТЕЦТВА В УМОВАХ ЦИФРОВІЗАЦІЇ ОСВІТИ","year":2025,"lang":"","type":"article","venue":"Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems","topic":"Diverse Music Education Insights","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Music education; Process (computing); Sociocultural evolution; Context (archaeology); Digital audio; Digital learning; Information and Communications Technology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009758492,0.0004045079,0.0002834696,0.001911014,0.00116145,0.003354877,0.0004269172,0.0007431953,0.01444759],"category_scores_gemma":[0.002104686,0.0004375773,0.0004427128,0.001838314,0.002344194,0.001930235,0.001232934,0.001303694,0.003924721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143566,"about_ca_system_score_gemma":0.002949798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003587201,"about_ca_topic_score_gemma":0.004327619,"domain_scores_codex":[0.9989977,0.0001740809,0.00005490335,0.0001412919,0.0005390496,0.00009302441],"domain_scores_gemma":[0.9992061,0.0003136817,0.0001290002,0.0001162201,0.0001725661,0.00006236957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001365803,0.0001227273,0.005157923,0.0006455931,0.00004035465,0.002238493,0.01294628,0.003591508,0.02531397,0.5530503,0.00481558,0.3919408],"study_design_scores_gemma":[0.00004540204,0.0001847154,0.01819564,0.0006354951,0.00009522872,0.002582055,0.01040335,0.003727173,0.02397897,0.1893719,0.7506149,0.0001651624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.189631,0.01364076,0.208736,0.004412262,0.0009912481,0.0003614464,0.0006688605,0.0003509445,0.5812074],"genre_scores_gemma":[0.7924407,0.01379018,0.1112665,0.0003087636,0.0002270831,0.000494722,0.0003668389,0.0002859594,0.08081924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01444759,"threshold_uncertainty_score":0.04833204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2232974911616354,"score_gpt":0.4080638899644942,"score_spread":0.1847663988028588,"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."}}