{"id":"W4409603687","doi":"10.61091/jcmcc127b-231","title":"A Study of Piano Tone Teaching in the Context of Artificial Intelligence Interaction","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; Tone (literature); Context (archaeology); Computer science; Speech recognition; Psychology; Human–computer interaction; Acoustics; Art; History; Physics","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":[0.0004783476,0.0002115702,0.00018905,0.0004254096,0.0008805152,0.001659825,0.0004159563,0.0005670757,0.00226473],"category_scores_gemma":[0.002156322,0.0001340257,0.0002434911,0.0004157547,0.0009476895,0.001601567,0.0007191546,0.0005356835,0.0002113982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006531852,"about_ca_system_score_gemma":0.0005964706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001710281,"about_ca_topic_score_gemma":0.001050028,"domain_scores_codex":[0.9993891,0.000197148,0.00002305446,0.0001045407,0.0002242498,0.00006192754],"domain_scores_gemma":[0.9994516,0.0003022221,0.00004745413,0.00003368713,0.0001085002,0.00005655744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003554189,0.0004417041,0.03778458,0.001110803,0.00008934722,0.003752624,0.04867189,0.01847599,0.08213905,0.3112585,0.004619717,0.4913004],"study_design_scores_gemma":[0.00007697722,0.001477527,0.1218211,0.0007187774,0.0002589455,0.003945766,0.0662187,0.4365166,0.05549727,0.1198132,0.1933854,0.0002695847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6652712,0.004606418,0.157164,0.002507859,0.0002176836,0.0001370805,0.00003567336,0.0002252653,0.1698349],"genre_scores_gemma":[0.9803934,0.0009491551,0.01145885,0.0001143165,0.00003718755,0.00003765433,0.0000138881,0.00001341808,0.006982148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00226473,"threshold_uncertainty_score":0.007576287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902372922074766,"score_gpt":0.3613987500650407,"score_spread":0.3223750208442931,"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."}}