{"id":"W4416837816","doi":"10.59266/houjs.2025.878","title":"ỨNG DỤNG TRÍ TUỆ NHÂN TẠO (AI) GIÚP NÂNG CAO HIỆU QUẢ TRONG GIẢNG DẠY VÀ THỰC HÀNH PHẦN MỀM GERBER TECHNOLOGY CHO SINH VIÊN NGÀNH THIẾT KẾ THỜI TRANG ĐẠI HỌC DUY TÂN","year":2025,"lang":"","type":"article","venue":"Tạp chí Khoa học Trường Đại học Mở Hà Nội","topic":"Research studies in Vietnam","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Southeast asia; Socialist republic; Government (linguistics); Nova scotia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005269878,0.00413928,0.004706848,0.00243763,0.006328809,0.001341046,0.008221375,0.003056849,0.01424266],"category_scores_gemma":[0.00218758,0.00414952,0.002077403,0.008265713,0.008427309,0.003307077,0.007369995,0.007742076,0.004356741],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006397368,"about_ca_system_score_gemma":0.0009775332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002785306,"about_ca_topic_score_gemma":0.003328248,"domain_scores_codex":[0.9718297,0.001663246,0.0048176,0.006938399,0.005426902,0.009324144],"domain_scores_gemma":[0.9878144,0.001838843,0.001505179,0.006594637,0.0004077533,0.001839163],"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":[0.002620528,0.007161235,0.103321,0.003931441,0.006312149,0.003628261,0.02325101,0.01372914,0.1608099,0.008271659,0.1774044,0.4895592],"study_design_scores_gemma":[0.02517948,0.003446724,0.1541966,0.005861256,0.003204254,0.0007574265,0.0230895,0.04222962,0.06130077,0.01670787,0.6494619,0.01456458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5056436,0.04895957,0.01023498,0.0834414,0.01648352,0.02170653,0.00135882,0.00429914,0.3078724],"genre_scores_gemma":[0.9449763,0.008583464,0.003028397,0.002832061,0.001390007,0.001841282,0.000104904,0.0006135556,0.03662997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4749947,"threshold_uncertainty_score":0.9996957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006667600786642456,"score_gpt":0.3052113166952332,"score_spread":0.2985437159085907,"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."}}