{"id":"W2899105209","doi":"10.1109/pst.2018.8514190","title":"Exploring User Behavior and Cybersecurity Knowledge - An experimental study in Online Shopping","year":2018,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Cybercrime; Computer science; Credit card; Profiling (computer programming); Internet privacy; Perception; Context (archaeology); Set (abstract data type); Computer security; The Internet; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004626755,0.0005379189,0.0009077287,0.0009413895,0.002541839,0.002611561,0.0008862304,0.002076655,0.00555542],"category_scores_gemma":[0.01267474,0.0009439285,0.0006717034,0.0005830047,0.001999264,0.002134979,0.001468966,0.001796755,0.0008072889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005907416,"about_ca_system_score_gemma":0.0009916947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241518,"about_ca_topic_score_gemma":0.001547258,"domain_scores_codex":[0.9968913,0.001661284,0.0002613884,0.0004378305,0.0003970047,0.0003511048],"domain_scores_gemma":[0.9826438,0.0120456,0.001283053,0.001657791,0.0008378142,0.001532037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.007550109,0.3998122,0.3025092,0.000561196,0.0001736514,0.001529661,0.2057604,0.001043397,0.04408977,0.002255922,0.0006104321,0.03410422],"study_design_scores_gemma":[0.003030442,0.2082434,0.6311093,0.0001484617,0.0003220199,0.001369843,0.1080994,0.01027583,0.02709059,0.002925684,0.006810443,0.0005746561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995162,0.000003099879,0.00008659467,0.00001413393,0.000001822692,0.0001286882,0.00001384834,0.000002480424,0.0002332028],"genre_scores_gemma":[0.9964288,0.00003130938,0.00142946,0.00009773497,0.00001454861,0.0008638183,0.00006908611,0.000005291253,0.001059967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00555542,"threshold_uncertainty_score":0.0244689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2045861668469594,"score_gpt":0.4079232979452451,"score_spread":0.2033371310982857,"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."}}