{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000171975,0.0001782981,0.0001958953,0.0004411619,0.0003617367,0.0004643527,0.0004116534,0.0002743805,0.0000318585],"category_scores_gemma":[0.00002838272,0.0001662753,0.00005121993,0.000640141,0.00007080332,0.003625757,0.0004631951,0.0003487924,0.00002343315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007111709,"about_ca_system_score_gemma":0.00007539034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009344395,"about_ca_topic_score_gemma":0.00001325788,"domain_scores_codex":[0.9988313,0.00003139945,0.0003966441,0.0001746811,0.0002705595,0.0002954724],"domain_scores_gemma":[0.9992512,0.00003395799,0.0001959292,0.0003033573,0.0001333742,0.00008220265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001937078,0.0000630745,0.2835443,0.00003657513,0.00002633574,0.00001073393,0.01670082,0.000005588581,0.00001423629,0.6841204,0.000753777,0.0147223],"study_design_scores_gemma":[0.002530148,0.0004539989,0.915116,0.0001398193,0.00008755533,0.0007496479,0.04258244,0.01094258,0.01143228,0.01248692,0.002026162,0.001452475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6201378,0.00002275914,0.3776954,0.0004642392,0.0003454204,0.0001112993,0.00001512035,0.0004340929,0.0007738917],"genre_scores_gemma":[0.9928931,0.00002180065,0.006596262,0.0003800488,0.00001509848,0.00000666306,0.00007065925,0.000003934042,0.00001242353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6716334,"threshold_uncertainty_score":0.6780512,"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."}}