{"id":"W4392707586","doi":"10.21125/inted.2024.1319","title":"ENHANCING CYBERSECURITY EDUCATION IN SECONDARY SCHOOLS: A CYBOK-BASED ANALYSIS AND STRATEGIC APPROACH","year":2024,"lang":"en","type":"article","venue":"INTED proceedings","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer security; Computer science; Engineering management; Business; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006531992,0.0006937006,0.0007971047,0.009103373,0.009282838,0.01108572,0.001461605,0.0009735367,0.003591612],"category_scores_gemma":[0.006525191,0.0005498645,0.0004925902,0.005831716,0.006260948,0.004978697,0.006704286,0.002228273,0.0006925856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02859613,"about_ca_system_score_gemma":0.0480174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0303708,"about_ca_topic_score_gemma":0.04674251,"domain_scores_codex":[0.9963371,0.001886766,0.0001502323,0.0003763049,0.000456779,0.0007928278],"domain_scores_gemma":[0.9973935,0.0007570471,0.0002275715,0.0001196082,0.0009352418,0.000567064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003101728,0.002491373,0.06825041,0.001259657,0.00003843812,0.001286664,0.4294537,0.002177251,0.004774604,0.2844777,0.0118152,0.1936648],"study_design_scores_gemma":[0.0001190802,0.0005275089,0.05680961,0.002190608,0.00006427547,0.0002505227,0.7651298,0.007316852,0.004084629,0.04418244,0.1192459,0.00007866113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520971,0.0005528048,0.0279236,0.005697911,0.0001899255,0.003670007,0.0002886656,0.0001470044,0.109433],"genre_scores_gemma":[0.9536811,0.0007812895,0.02988065,0.0006539841,0.00001681614,0.001872592,0.0002281708,0.00007370219,0.01281184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0303708,"threshold_uncertainty_score":0.2074804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00942848055318907,"score_gpt":0.2511682405804687,"score_spread":0.2417397600272796,"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."}}