{"id":"W4413601138","doi":"10.64628/aap.yu4p7fsgf","title":"Davantage de femmes sur les CA : la solution pour une meilleure cybersécurité ?","year":2023,"lang":"fr","type":"preprint","venue":"","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Philosophy","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":[0.003232323,0.0003986702,0.0004243742,0.0006681163,0.005782341,0.00267429,0.0005944477,0.001766919,0.01236566],"category_scores_gemma":[0.01312591,0.0002172592,0.0003332511,0.0006257676,0.003656176,0.003553503,0.002146163,0.002626884,0.0008447946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516888,"about_ca_system_score_gemma":0.003427195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03122443,"about_ca_topic_score_gemma":0.05149291,"domain_scores_codex":[0.9975072,0.00126555,0.00006102908,0.0002443306,0.000312495,0.000609528],"domain_scores_gemma":[0.9945979,0.002416342,0.0007933009,0.0003228169,0.0009085027,0.000961129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004569822,0.0004468128,0.1882506,0.0008589837,0.0001946375,0.003581549,0.355634,0.0002000814,0.004038067,0.05044695,0.0467811,0.3491102],"study_design_scores_gemma":[0.00004989807,0.0004798117,0.1225854,0.003346703,0.0002044501,0.002845784,0.5953367,0.0003743572,0.001491199,0.01926943,0.2538553,0.0001609716],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.877616,0.00659145,0.002381362,0.07106332,0.0009431508,0.00006463948,0.0001876961,0.00003325116,0.04111911],"genre_scores_gemma":[0.9770226,0.003191919,0.001107788,0.008726084,0.0001218283,0.00006258813,0.0000346455,0.00001882221,0.009713603],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03122443,"threshold_uncertainty_score":0.06208539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2457189470980926,"score_gpt":0.3378785897142744,"score_spread":0.09215964261618184,"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."}}