{"id":"W4413501432","doi":"10.64628/aam.grfhq9eh3","title":"How hiring more women IT experts improves cybersecurity risk management","year":2022,"lang":"en","type":"article","venue":"","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer security; Business; Risk management; Computer science; Internet privacy; Finance","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":[0.001839669,0.000242183,0.0002427818,0.0005408791,0.00199723,0.002426716,0.0004162815,0.0008504915,0.02452145],"category_scores_gemma":[0.009598567,0.0001696825,0.0002886912,0.0004236203,0.0005925084,0.001650421,0.001484597,0.00102988,0.002544868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008775326,"about_ca_system_score_gemma":0.002084355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005343839,"about_ca_topic_score_gemma":0.01674646,"domain_scores_codex":[0.9986717,0.0004615989,0.00003742769,0.0001786517,0.0002262128,0.0004244955],"domain_scores_gemma":[0.9900873,0.002801243,0.001672756,0.0005976579,0.0008131444,0.004027838],"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":[0.001371228,0.008083107,0.4523521,0.00039149,0.0001981468,0.0006014752,0.01022687,0.002357207,0.01254463,0.007147761,0.03246528,0.4722607],"study_design_scores_gemma":[0.0003182998,0.002446469,0.8807604,0.0005793691,0.0003178657,0.0003819714,0.0417197,0.003339939,0.004131447,0.01390859,0.05199749,0.00009839694],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9610459,0.0003092132,0.001467282,0.007882783,0.0003217008,0.00004505387,0.00009130273,0.00004467061,0.02879214],"genre_scores_gemma":[0.9884685,0.0001459129,0.0009390806,0.001495652,0.00008197042,0.00002926179,0.00005859598,0.00001098402,0.008769976],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02452145,"threshold_uncertainty_score":0.08203238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05236700504668548,"score_gpt":0.2737952133668982,"score_spread":0.2214282083202127,"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."}}