{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005645495,0.0001282364,0.0002024478,0.00005246136,0.0002582845,0.00009043267,0.0001445632,0.000115099,0.0001309832],"category_scores_gemma":[0.00001819838,0.0001312064,0.00002421457,0.0001096753,0.0002639897,0.0004423525,0.0001108442,0.0001504945,0.000006416096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005037973,"about_ca_system_score_gemma":0.0001176809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658499,"about_ca_topic_score_gemma":0.0004772272,"domain_scores_codex":[0.99879,0.0001762261,0.0002148163,0.0003308607,0.0002725535,0.0002155216],"domain_scores_gemma":[0.9994663,0.00005481316,0.0001194878,0.000159956,0.000082666,0.0001167641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008223614,0.0004303351,0.3649333,0.00006391544,0.00003486932,0.000003935682,0.5995569,0.000002311976,0.0004482256,0.007909424,0.0001955273,0.02633896],"study_design_scores_gemma":[0.007021527,0.001621644,0.4954586,0.0008163833,0.0003499444,0.00004406683,0.05468445,0.0002192647,0.09295227,0.009034107,0.3349654,0.002832365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998562,0.00009687198,0.00001307979,0.0002284508,0.0002268061,0.0003917287,0.00002362916,0.00003710289,0.0004203814],"genre_scores_gemma":[0.9989579,0.00003893408,0.0006884233,0.00005343311,0.000109907,0.000007260396,0.00003211469,0.000008059897,0.0001039548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5448725,"threshold_uncertainty_score":0.5350441,"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."}}