{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001165142,0.0003802062,0.000171126,0.001620097,0.006436242,0.007767207,0.0009414137,0.002168057,0.002783988],"category_scores_gemma":[0.0005634828,0.0001993431,0.0002388382,0.001562584,0.005627441,0.004807925,0.004148183,0.002483191,0.0002607293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01815072,"about_ca_system_score_gemma":0.02200729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05634635,"about_ca_topic_score_gemma":0.0783159,"domain_scores_codex":[0.9992412,0.0003286195,0.00002158082,0.00008611713,0.00007739864,0.0002450538],"domain_scores_gemma":[0.9990178,0.00009410767,0.0000595864,0.0000133719,0.0001304673,0.0006845928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003979025,0.000390192,0.01752505,0.0007061457,0.00002020751,0.003996128,0.1348719,0.001403827,0.00156156,0.7493367,0.01421055,0.07593797],"study_design_scores_gemma":[0.00001806688,0.0001659238,0.01658492,0.001191978,0.00002563185,0.001646755,0.5830387,0.004361177,0.001423582,0.08660639,0.3048739,0.00006297349],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3576328,0.02370273,0.01602929,0.1851898,0.001116833,0.0004416385,0.0001660116,0.00007316246,0.4156477],"genre_scores_gemma":[0.9614963,0.008237516,0.005553042,0.003193121,0.00008346695,0.00007836494,0.00004641092,0.00001452409,0.02129735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05634635,"threshold_uncertainty_score":0.1316934,"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."}}