{"id":"W4400014092","doi":"10.5539/jel.v13n5p21","title":"Evaluating Digital Competence in Graduate-Level Chinese International Education Programs: A Dual Perspective on Teacher Needs and Training Models","year":2024,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Digital literacy in education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Psychology; Medical education; Mathematics education; Pedagogy; Medicine","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":[0.00366496,0.000251353,0.000294714,0.002284315,0.001228295,0.002288489,0.0005405113,0.0004304424,0.001649828],"category_scores_gemma":[0.01036565,0.0002057412,0.0002330201,0.001410011,0.001128362,0.0017682,0.002085377,0.0006016659,0.0001285639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003935626,"about_ca_system_score_gemma":0.00594563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905806,"about_ca_topic_score_gemma":0.02148185,"domain_scores_codex":[0.9983655,0.0006066834,0.0001118919,0.000110007,0.0004093403,0.0003966354],"domain_scores_gemma":[0.9952997,0.001705569,0.0006036129,0.0001840135,0.001018526,0.001188642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008101767,0.0006364852,0.7360356,0.0001534808,0.00001667757,0.0003844808,0.196661,0.0007299041,0.001659094,0.003857192,0.0005884876,0.05919664],"study_design_scores_gemma":[0.00001620011,0.0003169568,0.6382729,0.0001899025,0.00002761942,0.0002235775,0.3505215,0.004138671,0.001349046,0.001060867,0.003851222,0.00003150911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954093,0.00003537913,0.0002758867,0.0001722641,0.00000188058,0.0000218234,0.00001014635,0.000003095952,0.004070278],"genre_scores_gemma":[0.9993976,0.00003986585,0.0001810845,0.00001074321,8.501607e-7,0.00001734033,0.0000148706,8.602963e-7,0.0003366407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01905806,"threshold_uncertainty_score":0.03789425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142408108678025,"score_gpt":0.4045354163455436,"score_spread":0.2902946054777411,"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."}}