{"id":"W2060224275","doi":"10.4018/jisp.2009100105","title":"Do You Know Where Your Data Is? A Study of the Effect of Enforcement Strategies on Privacy Policies","year":2009,"lang":"en","type":"article","venue":"International Journal of Information Security and Privacy","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Enforcement; Internet privacy; Law enforcement; Legislation; Privacy policy; Information privacy; Computer science; The Internet; Privacy by Design; Data Protection Act 1998; Privacy protection; Business; Personally identifiable information; Computer security; Law; World Wide Web; Political science","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":[0.0306651,0.0003383794,0.0006083293,0.001826581,0.002359681,0.004346901,0.001501711,0.001993311,0.004627293],"category_scores_gemma":[0.27041,0.0005701382,0.0007795417,0.002962509,0.004524482,0.006381908,0.002009721,0.004990638,0.0007405744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003255871,"about_ca_system_score_gemma":0.003158489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008745463,"about_ca_topic_score_gemma":0.006023796,"domain_scores_codex":[0.9678048,0.02371556,0.001751453,0.001738573,0.003854145,0.001135451],"domain_scores_gemma":[0.3131618,0.6096019,0.05615471,0.01137521,0.006318751,0.003387551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002926018,0.009399604,0.7953789,0.000673388,0.0007095274,0.0004777208,0.0360325,0.002378999,0.002284717,0.02402527,0.003151811,0.1225617],"study_design_scores_gemma":[0.0005687801,0.003735954,0.8895674,0.0006389845,0.0006818074,0.0006166067,0.04999563,0.01392913,0.003351988,0.01751224,0.0192384,0.0001631005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847015,0.0004097706,0.0008893834,0.002108953,0.00001393315,0.0001108029,0.00009906335,0.00001696424,0.01164959],"genre_scores_gemma":[0.9979088,0.0002265647,0.000697148,0.0003158956,0.000008591519,0.00008092084,0.00006767291,0.00001395539,0.0006804614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0306651,"threshold_uncertainty_score":0.1621745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311402710969771,"score_gpt":0.360668779933117,"score_spread":0.3275547528234193,"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."}}