{"id":"W4384557483","doi":"10.3390/su151411093","title":"AI and Digital Transformation in Higher Education: Vision and Approach of a Specific University in Vietnam","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Digital transformation; Vietnamese; Process (computing); The Internet; Higher education; Domain (mathematical analysis); Computer science; Industrial Revolution; Artificial intelligence; Engineering management; Knowledge management; Business; Engineering; World Wide Web; Political science; Economic growth; Mathematics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000144669,0.0000383284,0.00006405156,0.0002374606,0.00001400765,0.0000178277,0.00008966376,0.00003969558,0.000001295724],"category_scores_gemma":[0.00001861988,0.00003992386,0.000007463722,0.0007253163,0.00004795427,0.000372289,0.00004658452,0.00006552586,3.436224e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001228604,"about_ca_system_score_gemma":0.00009509982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001368214,"about_ca_topic_score_gemma":0.000002780974,"domain_scores_codex":[0.9996452,0.00001596984,0.00008431713,0.0001356987,0.00004148575,0.00007735964],"domain_scores_gemma":[0.9997584,0.00001891049,0.00001278242,0.0001374412,0.00005353883,0.00001896445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001021593,0.0002804141,0.06422029,0.000383462,0.000001578523,0.000001904701,0.004900293,0.0002212051,0.0000150818,0.7804847,0.000134866,0.1493459],"study_design_scores_gemma":[0.0002600627,0.00003021024,0.957947,0.000009160397,4.53684e-7,0.000001932201,0.0017762,0.007631556,0.00001353121,0.02429139,0.007968413,0.00007005202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833122,0.00004708791,0.007650519,0.007951214,0.00005884041,0.0001827436,7.114992e-7,0.000067933,0.0007287365],"genre_scores_gemma":[0.9994388,0.00001374494,0.0003999817,0.000009041406,0.000002628236,0.000002433317,0.000002459624,0.000001215334,0.0001297288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8937268,"threshold_uncertainty_score":0.1628048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007576437781614985,"score_gpt":0.2338489913463441,"score_spread":0.2262725535647291,"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."}}