{"id":"W267594391","doi":"","title":"GAPP Targets Privacy Risks: Principles Provide a Comprehensive, Scalable Framework for Managing Compliance and Reputation Threats","year":2011,"lang":"en","type":"article","venue":"Journal of accountancy online/Journal of accountancy","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Health Insurance Portability and Accountability Act; Information privacy; Privacy law; Personally identifiable information; Legislation; Privacy policy; Enforcement; Data Protection Act 1998; Internet privacy; Privacy by Design; Computer security; Confidentiality; Law; 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":[0.03684437,0.001660504,0.001279632,0.004953386,0.004026362,0.01759554,0.005764129,0.009496453,0.02141088],"category_scores_gemma":[0.05443515,0.001944922,0.002923617,0.003494718,0.005071289,0.02060476,0.01529718,0.01176713,0.01518886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004507639,"about_ca_system_score_gemma":0.02105493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006889018,"about_ca_topic_score_gemma":0.00572988,"domain_scores_codex":[0.9646266,0.01082566,0.003291568,0.002342891,0.01565462,0.003258649],"domain_scores_gemma":[0.9621272,0.01180632,0.003314419,0.008442538,0.01169292,0.002616666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003644628,0.0002050825,0.00239851,0.0004584907,0.00005476825,0.0005316003,0.0009849559,0.01382866,0.001032541,0.6409724,0.1815657,0.1579309],"study_design_scores_gemma":[0.00005175042,0.0001190635,0.00115157,0.001000305,0.00005454332,0.0005116637,0.0007987167,0.03848672,0.00236482,0.3216399,0.6336848,0.0001361797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003366283,0.001103014,0.7147988,0.03491017,0.0006969531,0.002790122,0.001464446,0.01102492,0.2298453],"genre_scores_gemma":[0.139327,0.003094485,0.7387529,0.01726128,0.001355546,0.004535496,0.003312689,0.002982387,0.08937814],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03684437,"threshold_uncertainty_score":0.194854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1765593508558192,"score_gpt":0.3899323266477342,"score_spread":0.213372975791915,"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."}}