{"id":"W2947423274","doi":"10.1093/oxfordhb/9780199372133.013.45","title":"The Convergence of Networked Technologies in Music Teaching and Learning","year":2017,"lang":"en","type":"reference-entry","venue":"","topic":"Diverse Music Education Insights","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Convergence (economics); The Internet; Computer science; Technological convergence; Focus (optics); Multimedia; Subject (documents); Software; Emerging technologies; World Wide Web; Telecommunications; Artificial intelligence","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":[0.002478513,0.0003293743,0.0003005301,0.001887209,0.004695258,0.01584245,0.0007255223,0.001590572,0.01435066],"category_scores_gemma":[0.004460693,0.0002405073,0.0002477279,0.002001594,0.01578571,0.01440458,0.009108807,0.003090285,0.001952112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004260919,"about_ca_system_score_gemma":0.00269327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003304218,"about_ca_topic_score_gemma":0.004653093,"domain_scores_codex":[0.9960676,0.00219615,0.0001151511,0.0003002146,0.001032527,0.0002882777],"domain_scores_gemma":[0.9974388,0.001799231,0.0001798356,0.0001789135,0.0001718125,0.0002314196],"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":[0.00002314878,0.00003005751,0.0008398066,0.0001635884,0.000007418198,0.0002222725,0.04318449,0.0002907577,0.0002348187,0.8697349,0.00393642,0.0813322],"study_design_scores_gemma":[0.00001870385,0.00005641684,0.002467687,0.001623983,0.0000157673,0.0005613817,0.05589123,0.0006857567,0.0006920912,0.3795457,0.5584143,0.00002695469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03459338,0.0181406,0.0071814,0.01962759,0.0006200115,0.00002751296,0.00002061215,0.00005455214,0.9197344],"genre_scores_gemma":[0.8792119,0.03819929,0.007140167,0.003065109,0.001418961,0.0001334118,0.00003958419,0.0001402745,0.07065146],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01584245,"threshold_uncertainty_score":0.04800773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07538791631123984,"score_gpt":0.2626096679132007,"score_spread":0.1872217516019609,"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."}}