{"id":"W4285206589","doi":"10.2139/ssrn.4088873","title":"Factors Affecting Employees’ Susceptibility to Cyber Attacks","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Information and Cyber Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer security; Business; Internet privacy; Computer science","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":[0.001569512,0.000208355,0.0001422744,0.0009920401,0.0009837413,0.001359055,0.0003125786,0.0006718232,0.004227567],"category_scores_gemma":[0.01218635,0.0002187567,0.0003012938,0.0005047164,0.0006929645,0.0005358137,0.0006297289,0.0009658111,0.0006415044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005154027,"about_ca_system_score_gemma":0.001097482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00552521,"about_ca_topic_score_gemma":0.00784657,"domain_scores_codex":[0.9987049,0.0004016716,0.0001437881,0.00009042047,0.0002743212,0.000384847],"domain_scores_gemma":[0.9729607,0.01107261,0.007923071,0.001050768,0.002430168,0.004562716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001429559,0.0002818863,0.9928302,0.00001200999,0.00003368864,0.0001475701,0.001796297,0.0001750195,0.0006429862,0.00009616187,0.0002328089,0.003608468],"study_design_scores_gemma":[0.000005028244,0.000186058,0.9897305,0.00001200262,0.00001774692,0.0001469871,0.008891329,0.0001972045,0.0002399362,0.0001369139,0.0004273209,0.000008886233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985319,0.00002695888,0.00003887828,0.0001318836,0.00000452165,0.000004991226,0.00001910781,0.000002425269,0.001239278],"genre_scores_gemma":[0.9996606,0.00001834057,0.00002860649,0.00002728331,0.000004518575,0.000002099227,0.00001749355,0.000001011436,0.0002399538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00552521,"threshold_uncertainty_score":0.01414263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522780798740521,"score_gpt":0.2617973818306651,"score_spread":0.2465695738432599,"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."}}