{"id":"W3010823622","doi":"10.1108/ics-11-2018-0128","title":"An activity theory approach to information security non-compliance","year":2020,"lang":"en","type":"article","venue":"Information and Computer Security","topic":"Information and Cyber Security","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Variety (cybernetics); Compliance (psychology); Originality; Field (mathematics); Through-the-lens metering; Value (mathematics); Information security; Task (project management); Computer science; Knowledge management; Psychology; Computer security; Lens (geology); Social psychology; Engineering; Economics; Management; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0006265304,0.000311979,0.0003030867,0.00020502,0.0003398277,0.001329332,0.001104554,0.0001504931,0.00001342893],"category_scores_gemma":[0.0000312326,0.000308485,0.00008199415,0.0006882233,0.00005449125,0.01971781,0.0005139465,0.0003863513,0.0004353305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005022301,"about_ca_system_score_gemma":0.00009448297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003204906,"about_ca_topic_score_gemma":0.000001630534,"domain_scores_codex":[0.9980574,0.0001337976,0.0006120967,0.0002786554,0.0005180193,0.000400018],"domain_scores_gemma":[0.9981396,0.00003753414,0.0002836526,0.000594622,0.0003148527,0.0006297039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001140083,0.000161834,0.0001085817,0.0003369864,0.00003026133,8.353337e-7,0.1752261,0.0006077581,0.00001144898,0.5981674,0.005870944,0.2193639],"study_design_scores_gemma":[0.0007260861,0.0002202417,0.005994341,0.00001588715,0.000004919265,0.00002107125,0.0003791212,0.9458249,0.0002857128,0.003540916,0.0425213,0.0004655437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03951544,0.000007067146,0.9424667,0.001573724,0.0003053846,0.0005891389,0.00003143662,0.0005114077,0.01499966],"genre_scores_gemma":[0.9580899,0.000007958854,0.01872081,0.02294229,0.000122505,0.00003793362,0.00007193715,0.000005007587,0.000001619161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9452171,"threshold_uncertainty_score":0.9999367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400016211137034,"score_gpt":0.2314187840293697,"score_spread":0.2174186219179994,"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."}}