{"id":"W2921518369","doi":"10.1002/spy2.66","title":"End user nonmalicious, counterproductive computer security behaviors: concept, development, and validation of an instrument","year":2019,"lang":"en","type":"article","venue":"Security and Privacy","topic":"Cyberloafing and Workplace Behavior","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Relevance (law); Confirmatory factor analysis; Order (exchange); Phenomenon; Computer science; Measure (data warehouse); Knowledge management; Psychology; Business; Structural equation modeling; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02648653,0.0006848204,0.0004719129,0.002323191,0.00140743,0.001978685,0.001320486,0.001068171,0.00148876],"category_scores_gemma":[0.03678607,0.0005238716,0.0009146485,0.001337467,0.002271563,0.002029032,0.002709852,0.001906512,0.0004974029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184839,"about_ca_system_score_gemma":0.006676068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382285,"about_ca_topic_score_gemma":0.002339231,"domain_scores_codex":[0.9885864,0.005512989,0.001862557,0.000606756,0.002989493,0.0004418449],"domain_scores_gemma":[0.9525447,0.023611,0.005450757,0.003536502,0.0135113,0.001345723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004556607,0.006508195,0.5672967,0.001049991,0.0001185124,0.0001609438,0.02537585,0.001923331,0.008321688,0.01215095,0.003368193,0.3732701],"study_design_scores_gemma":[0.0003820998,0.008147564,0.860323,0.001858201,0.0003474025,0.0006826261,0.03145224,0.02563329,0.02204189,0.01145193,0.03738603,0.0002936666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885886,0.0003242476,0.07658111,0.001200301,0.0001613568,0.01791309,0.0008440345,0.0003195276,0.0167703],"genre_scores_gemma":[0.7319009,0.0004972731,0.2350323,0.0004887813,0.00005096206,0.02821528,0.00108339,0.00006730893,0.002663737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02648653,"threshold_uncertainty_score":0.1400759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318018829899203,"score_gpt":0.2823002679679363,"score_spread":0.2691200796689442,"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."}}