{"id":"W4403381410","doi":"10.5430/jct.v13n5p10","title":"Exploring the Effects of Using AI Technologies in Higher Education Institutions in UAE","year":2024,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Higher education; Political science; Mathematics education; Data science; Knowledge management; Computer science; Psychology; Law","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":[0.002838008,0.0002077903,0.0002156864,0.00136023,0.002689666,0.00302107,0.0004256484,0.0005992371,0.002980455],"category_scores_gemma":[0.008767547,0.0001812634,0.0002668531,0.001256088,0.001303952,0.001178511,0.001733218,0.0008547034,0.0003152929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632791,"about_ca_system_score_gemma":0.00212061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00421242,"about_ca_topic_score_gemma":0.007689579,"domain_scores_codex":[0.99578,0.002392316,0.0001810278,0.0001779624,0.0007911805,0.0006775036],"domain_scores_gemma":[0.9856238,0.00591621,0.003772368,0.000279331,0.001580993,0.002827249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001305037,0.001383879,0.8750464,0.0002705211,0.00007706056,0.001115138,0.05547684,0.0002974913,0.001993343,0.001404543,0.00117474,0.06162946],"study_design_scores_gemma":[0.00000675463,0.0006891237,0.8146091,0.0001437189,0.00004146197,0.0003659514,0.1754853,0.000361758,0.001119745,0.000213495,0.006926186,0.0000373809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972914,0.0001393222,0.00008831314,0.0004088968,0.000007099183,0.000009210658,0.00001541623,0.000003155806,0.002037131],"genre_scores_gemma":[0.9991424,0.0001972866,0.0001247693,0.0001198243,0.00001026357,0.000009969069,0.0000102151,8.789374e-7,0.0003845155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00421242,"threshold_uncertainty_score":0.01500905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04665752589460809,"score_gpt":0.2928334315589632,"score_spread":0.2461759056643552,"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."}}