{"id":"W4405329686","doi":"10.1007/978-981-97-5791-6_1","title":"Exploring Cybersecurity Training and Awareness Approaches","year":2024,"lang":"en","type":"book-chapter","venue":"Algorithms for intelligent systems","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Canada West","funders":"","keywords":"Computer security; Training (meteorology); Computer science; Geography","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":[0.0006589988,0.0003592781,0.0002253061,0.0003396457,0.0003335165,0.001936148,0.0007797928,0.0007142332,0.01098075],"category_scores_gemma":[0.002250421,0.0002052753,0.0002581418,0.0005067163,0.001061006,0.003117101,0.0008149232,0.001241631,0.0008501335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007742971,"about_ca_system_score_gemma":0.0007851406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009685239,"about_ca_topic_score_gemma":0.00125827,"domain_scores_codex":[0.9997537,0.0001061993,0.000006687329,0.00004833856,0.00005680398,0.00002822856],"domain_scores_gemma":[0.999091,0.0006984896,0.00003187003,0.00007863342,0.00006316638,0.00003679623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001434238,0.00006848007,0.0003424529,0.00009244972,0.000008842785,0.00001874343,0.0002456961,0.01878045,0.0007455674,0.7795926,0.0053438,0.1947466],"study_design_scores_gemma":[0.000006482326,0.00003639931,0.0004591551,0.0001141693,0.00001137364,0.00009019232,0.0003127953,0.1150103,0.001207042,0.8303244,0.05242065,0.000006987228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02194919,0.008442734,0.684176,0.005914728,0.0003661866,0.0000519694,0.00005561079,0.0003247251,0.2787188],"genre_scores_gemma":[0.5638536,0.008619622,0.3045273,0.0008508178,0.0003431328,0.0001118292,0.0001985552,0.0001627497,0.1213326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01098075,"threshold_uncertainty_score":0.03673428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3021611436802281,"score_gpt":0.2879089969970113,"score_spread":0.01425214668321678,"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."}}