{"id":"W3203875322","doi":"10.1080/0144929x.2021.1977849","title":"Understanding individual differences: factors affecting secure computer behaviour","year":2021,"lang":"en","type":"article","venue":"Behaviour and Information Technology","topic":"Information and Cyber Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Psychology; Computer science; Social psychology","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":[0.001289271,0.0001420455,0.0001759156,0.0006202364,0.0003443811,0.0007319874,0.0001815588,0.0003417364,0.002475047],"category_scores_gemma":[0.008515606,0.0001073498,0.0001867359,0.0005151788,0.000377266,0.0007963121,0.0003914695,0.0003763436,0.0002705932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066618,"about_ca_system_score_gemma":0.0002220947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002257324,"about_ca_topic_score_gemma":0.003845537,"domain_scores_codex":[0.9989778,0.0004695517,0.0001083006,0.0001289296,0.0002087291,0.0001067639],"domain_scores_gemma":[0.9918438,0.005049374,0.001698106,0.0003888821,0.0004809757,0.0005388635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004618476,0.00009943841,0.9845489,0.00002843516,0.00003457153,0.00004589024,0.002516713,0.00009592969,0.0005550039,0.0001165411,0.00007553017,0.01183672],"study_design_scores_gemma":[9.902095e-7,0.00006935162,0.9970638,0.000008323706,0.0000102889,0.00008552176,0.001896591,0.0003691034,0.0001261929,0.0001591739,0.0002052668,0.000005255877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981883,0.00009779362,0.0003709479,0.0001117843,0.000002846772,0.000009778098,0.00004467674,0.000003895101,0.001169911],"genre_scores_gemma":[0.9996042,0.00004426047,0.000176041,0.00001965381,0.00000235728,0.000004328715,0.00002634403,0.000001031654,0.0001218575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002475047,"threshold_uncertainty_score":0.00827986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085376051409088,"score_gpt":0.2390614845486137,"score_spread":0.1982077240345228,"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."}}