{"id":"W4409866584","doi":"10.1007/s10796-025-10606-1","title":"Barking Up the Wrong Tree? Reconsidering Policy Compliance as a Dependent Variable Within Behavioral Cybersecurity Research","year":2025,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Information and Cyber Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council","keywords":"Compliance (psychology); Déjà vu; Computer security; Computer science; Variable (mathematics); Tree (set theory); Psychology; Social psychology; Cognitive psychology; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04231867,0.000710752,0.001557548,0.002313771,0.003901796,0.007237484,0.003835035,0.005332531,0.004496688],"category_scores_gemma":[0.1665175,0.0008051704,0.001020727,0.003020307,0.01217504,0.01462437,0.003729593,0.01367014,0.0006471064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975863,"about_ca_system_score_gemma":0.003885838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009321952,"about_ca_topic_score_gemma":0.01097828,"domain_scores_codex":[0.9612293,0.02750966,0.001393613,0.004167073,0.004376281,0.001324049],"domain_scores_gemma":[0.6920821,0.2444058,0.03454676,0.0158068,0.008620253,0.004538319],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003495062,0.00266703,0.5701566,0.000344859,0.001217653,0.0004055152,0.01727885,0.003528891,0.0008537894,0.348121,0.004454277,0.05062204],"study_design_scores_gemma":[0.0002233165,0.0006800373,0.2656526,0.001189998,0.001217566,0.0003152886,0.02260116,0.04261842,0.002366755,0.6539462,0.008904377,0.0002842482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8728321,0.001203316,0.04946289,0.05290743,0.0004701792,0.0001407718,0.0004900976,0.00007936075,0.02241383],"genre_scores_gemma":[0.9924899,0.0001928104,0.0047979,0.001532385,0.0001016678,0.0001203261,0.0001173121,0.00003999914,0.0006076647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9576814,"threshold_uncertainty_score":0.2238052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.070206668462373,"score_gpt":0.3384869917632152,"score_spread":0.2682803233008422,"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."}}