{"id":"W4396851448","doi":"10.25300/misq/2023/17707","title":"Time Will Tell: The Case for an Idiographic Approach to Behavioral Cybersecurity Research","year":2024,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Information and Cyber Security","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nomothetic and idiographic; Computer security; Computer science; Business; Public relations; Engineering management; Engineering; Process management; Psychology; Knowledge management; Political science; Social psychology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001770485,0.0001414446,0.0001215408,0.0003077139,0.0004844654,0.001045274,0.0009799802,0.00008303142,0.00001781026],"category_scores_gemma":[0.000007325771,0.0001031449,0.000128392,0.001081956,0.0001086678,0.001265984,0.00005123656,0.0003181955,0.0002694948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003957071,"about_ca_system_score_gemma":0.00008068592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003803871,"about_ca_topic_score_gemma":0.0001797044,"domain_scores_codex":[0.9982973,0.0001969882,0.0002499731,0.0004103047,0.0003783453,0.0004670444],"domain_scores_gemma":[0.9986858,0.0001025845,0.00002175099,0.0007946133,0.0001921455,0.0002031452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003100743,0.0006331645,0.00001065996,0.0001439878,0.00004547063,0.000267401,0.3525596,0.00001398419,0.000287523,0.3036122,0.08869773,0.2536973],"study_design_scores_gemma":[0.0007655743,0.005030797,0.0002463677,0.00006737152,0.00004552962,0.002300936,0.01647647,0.6251941,0.0002636127,0.0179267,0.3306518,0.00103072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7861009,0.0003640154,0.1874235,0.004128591,0.000966789,0.002650068,0.0001039074,0.001051793,0.0172105],"genre_scores_gemma":[0.9944735,7.212345e-7,0.004538444,0.0002930799,0.0001375356,0.0001944478,0.00001613467,0.00001301586,0.0003331599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6251801,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05647954157193277,"score_gpt":0.3424178196016775,"score_spread":0.2859382780297448,"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."}}