{"id":"W4409795692","doi":"10.61091/jcmcc127b-503","title":"In-depth Analysis of Chinese Traditional Music Overseas Communication Path Based on Multi-objective Optimization Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Path (computing); Path analysis (statistics); Algorithm; Optimization algorithm; Mathematical optimization; Mathematics; Computer network; Machine 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":[0.001000196,0.001335482,0.001129315,0.002137741,0.0006487896,0.001415143,0.001038875,0.000795249,0.001989934],"category_scores_gemma":[0.001648055,0.0005205922,0.001495728,0.001620393,0.0003792669,0.001116487,0.0007139375,0.0005987073,0.0001669784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267495,"about_ca_system_score_gemma":0.002191757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02040873,"about_ca_topic_score_gemma":0.01042164,"domain_scores_codex":[0.9994934,0.000119401,0.00002116709,0.00009112474,0.0001763476,0.00009854906],"domain_scores_gemma":[0.9994578,0.0002803062,0.00007140452,0.00002000158,0.0001378368,0.00003266329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002561275,0.00002817669,0.001950723,0.00007767741,0.00004809766,0.00006001953,0.00005554235,0.9693257,0.0007924744,0.002493401,0.0005281643,0.02461439],"study_design_scores_gemma":[0.000002301134,0.000008309272,0.0003439404,0.000003649093,0.000008851096,0.000006889915,0.00002263019,0.9984645,0.0001766944,0.0007658229,0.0001935924,0.000002932864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1311285,0.001034984,0.8574791,0.000347223,0.00004940334,0.0001319819,0.0002277935,0.0003961229,0.009204992],"genre_scores_gemma":[0.8487776,0.0008021684,0.1444888,0.0001121361,0.00003805943,0.0002218796,0.0005174653,0.0001269943,0.004914952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02040873,"threshold_uncertainty_score":0.04057986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730859410212346,"score_gpt":0.268145025490996,"score_spread":0.2508364313888726,"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."}}