{"id":"W4328120217","doi":"10.1787/5fd44e6c-en","title":"Building a Skilled Cyber Security Workforce in Five Countries","year":2023,"lang":"en","type":"book","venue":"OECD skills studies","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Business; Labour economics; Economic growth; Economics","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":[0.0005856044,0.0002120935,0.0001298596,0.001309073,0.002138948,0.002045055,0.0004804122,0.0005661726,0.004928924],"category_scores_gemma":[0.0006302522,0.0002255546,0.0001282974,0.002115755,0.0006603058,0.001610118,0.002034493,0.0004099045,0.0006986967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004259499,"about_ca_system_score_gemma":0.004748725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1001063,"about_ca_topic_score_gemma":0.1777078,"domain_scores_codex":[0.9995924,0.00007166179,0.00002002359,0.00002810186,0.000068562,0.0002193373],"domain_scores_gemma":[0.9994602,0.0000873612,0.00003668948,0.00001446932,0.00009901785,0.0003022641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004381529,0.0005771542,0.1928121,0.001959222,0.00002629227,0.005385944,0.2192471,0.003528895,0.004561828,0.1053845,0.06367478,0.402404],"study_design_scores_gemma":[0.00004106448,0.0004167354,0.2767449,0.0009507858,0.00001591615,0.001073223,0.2337029,0.001031474,0.001234716,0.002649339,0.4820879,0.0000509706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9063909,0.002961602,0.0003319935,0.002601949,0.00008245795,0.00006950195,0.0003495346,0.00002648334,0.08718548],"genre_scores_gemma":[0.951068,0.00455614,0.001081617,0.0005559056,0.00001279235,0.00006128994,0.0003984383,0.00001299199,0.04225286],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1001063,"threshold_uncertainty_score":0.1990472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178824013824659,"score_gpt":0.3386269886120672,"score_spread":0.3168387484738207,"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."}}