{"id":"W255576673","doi":"","title":"What's Your Privacy IQ? Test Your Legislative Knowledge","year":2012,"lang":"en","type":"article","venue":"Journal of accountancy online/Journal of accountancy","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identity theft; Personally identifiable information; Credit card; Data breach; Internet privacy; Business; Information privacy law; Information privacy; Phone; Computer security; Law; Privacy policy; Payment; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02949494,0.0007863977,0.001073543,0.001919084,0.01193906,0.01480848,0.004791287,0.01897433,0.07022023],"category_scores_gemma":[0.1420623,0.0006592124,0.001576208,0.00174788,0.01114596,0.0284669,0.006189023,0.02441862,0.03089439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005599804,"about_ca_system_score_gemma":0.02163882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403414,"about_ca_topic_score_gemma":0.01116193,"domain_scores_codex":[0.9792858,0.007585523,0.001076145,0.001413659,0.007427063,0.003211813],"domain_scores_gemma":[0.9104556,0.0315077,0.002415493,0.006377476,0.04192349,0.007320329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002745284,0.0000942528,0.0008699705,0.0001743783,0.000009311044,0.0002188325,0.001807713,0.00008083949,0.0001443432,0.07997856,0.8732454,0.043349],"study_design_scores_gemma":[0.0000154015,0.00004873971,0.0009595551,0.001659483,0.00001868205,0.0002816329,0.005150729,0.0001880194,0.0002503424,0.02547508,0.9659074,0.00004514371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0007545588,0.002263763,0.001150023,0.9180301,0.01207615,0.00006428385,0.000148926,0.0001341048,0.06537807],"genre_scores_gemma":[0.0302524,0.006245088,0.006500615,0.8493556,0.009696734,0.000563253,0.0004725653,0.0003378668,0.09657595],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07022023,"threshold_uncertainty_score":0.2349101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05248211163367834,"score_gpt":0.3432134335711421,"score_spread":0.2907313219374638,"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."}}