{"id":"W4409603841","doi":"10.61091/jcmcc127b-174","title":"esearch on the Application of Computer Visual Technology to Enhance Cultural Inheritance and National Identity in Ethnic Pattern Design Courses","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Inheritance (genetic algorithm); Cultural inheritance; Identity (music); Cultural identity; Sociology; Anthropology; Aesthetics; Social science; Art; Genetics; Literature; Biology","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":[0.000587011,0.0002730211,0.0001691198,0.001334132,0.0002913039,0.0009170329,0.0002971803,0.0003023153,0.006928083],"category_scores_gemma":[0.001121609,0.00009811783,0.0003368736,0.001012107,0.0003317872,0.0009393207,0.0003591128,0.0002610808,0.0008423629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004321916,"about_ca_system_score_gemma":0.0005966122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002303933,"about_ca_topic_score_gemma":0.003176484,"domain_scores_codex":[0.9996724,0.0001066594,0.00001836988,0.00005610456,0.0001178796,0.00002859008],"domain_scores_gemma":[0.9995763,0.0001781944,0.00004164871,0.00006125584,0.0001104587,0.0000321072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007299257,0.0001452722,0.007099942,0.0003607344,0.00004321493,0.0001329242,0.0004665991,0.007979741,0.02254633,0.01416933,0.003422203,0.9435608],"study_design_scores_gemma":[0.0001203755,0.00143954,0.1023212,0.0006025651,0.0003241547,0.00166867,0.003738933,0.4939194,0.1223768,0.04305074,0.2303147,0.00012308],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4168612,0.01021653,0.4228294,0.002150478,0.0004267229,0.0002287704,0.0001380318,0.001116764,0.1460321],"genre_scores_gemma":[0.8224272,0.005385626,0.1486125,0.0003053933,0.00009036678,0.00006382854,0.0001361431,0.00009047008,0.02288849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006928083,"threshold_uncertainty_score":0.02317673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913245562785325,"score_gpt":0.3775050909925197,"score_spread":0.3483726353646664,"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."}}