{"id":"W4409604980","doi":"10.61091/jcmcc127b-339","title":"Research on the optimization of piano technique training based on Monte Carlo algorithm under the innovation framework of music education in colleges and universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Piano; Monte Carlo method; Computer science; Music education; Training (meteorology); Mathematics education; Algorithm; Psychology; Mathematics; Pedagogy; Art; Physics; Art history; Statistics","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":[0.000745329,0.0005292714,0.0008568999,0.0004806696,0.0005970357,0.0007464589,0.0008872866,0.0009119466,0.001919059],"category_scores_gemma":[0.002377464,0.000348886,0.0006611594,0.0004964245,0.0005562752,0.001027756,0.0006371153,0.0007378584,0.0001673185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007089545,"about_ca_system_score_gemma":0.002326601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007727596,"about_ca_topic_score_gemma":0.003650923,"domain_scores_codex":[0.999537,0.000125676,0.00002103824,0.00008117873,0.0001690791,0.00006595958],"domain_scores_gemma":[0.9993544,0.0003672993,0.00005627327,0.00003044114,0.0001494638,0.00004214319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004451707,0.00006125687,0.00179898,0.000139895,0.00004193722,0.00003705785,0.00006112219,0.9373774,0.002466954,0.0108707,0.000579706,0.04652055],"study_design_scores_gemma":[0.000007703414,0.0000261427,0.0002424535,0.000007433056,0.000009074623,0.0000136166,0.00001300867,0.9975851,0.0003569928,0.001356676,0.0003767971,0.000004946258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03395738,0.0009134711,0.9581797,0.0003209268,0.00006421224,0.00006344012,0.00001620692,0.0001840706,0.006300616],"genre_scores_gemma":[0.8081366,0.001447996,0.185626,0.0001773535,0.0000653355,0.0002918221,0.00007276936,0.0000898107,0.004092298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007727596,"threshold_uncertainty_score":0.01536524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04171782263101148,"score_gpt":0.3414607487901993,"score_spread":0.2997429261591879,"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."}}