{"id":"W4390974842","doi":"10.5267/j.ijdns.2023.12.022","title":"Artificial intelligence in Jordanian education: Assessing acceptance via perceived cybersecurity, novelty value, and perceived trust","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Novelty; Expectancy theory; Unified theory of acceptance and use of technology; Structural equation modeling; Psychology; Value (mathematics); Technology acceptance model; Affect (linguistics); Social psychology; Social influence; Field (mathematics); Applied psychology; Knowledge management; Computer science; Usability","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001194771,0.0001180938,0.000139206,0.0002991726,0.0001798712,0.001423529,0.002224543,0.0000363697,0.0000211979],"category_scores_gemma":[0.0001556044,0.0001012167,0.00001979274,0.0009484543,0.0003064254,0.006513438,0.0008037345,0.0002699947,0.00000582505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009069606,"about_ca_system_score_gemma":0.0009351759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002530935,"about_ca_topic_score_gemma":0.00002588466,"domain_scores_codex":[0.998221,0.00003518932,0.0004478295,0.0004204493,0.0006599275,0.0002156331],"domain_scores_gemma":[0.9990232,0.0001205276,0.0001339903,0.0002429633,0.0003231932,0.0001561055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002123793,0.0001871687,0.01672864,0.00002827158,0.00003502746,0.00009434987,0.003372843,0.001165423,0.003126965,0.06448758,0.0007955212,0.909957],"study_design_scores_gemma":[0.00008066263,0.00006592261,0.2361322,0.0005693748,0.00001193447,0.001188116,0.0003452341,0.7229264,0.0001685528,0.03594044,0.002301012,0.0002701402],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7017177,0.001525158,0.2859069,0.006270677,0.004030476,0.0000845311,0.00001218326,0.00003011975,0.0004222032],"genre_scores_gemma":[0.954552,0.0007142563,0.04346244,0.0004336752,0.0008083193,5.228677e-7,0.000004971323,0.000005442255,0.00001838031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9096869,"threshold_uncertainty_score":0.9996131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107151440400294,"score_gpt":0.3361932362849227,"score_spread":0.3051217218809197,"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."}}