{"id":"W4241527182","doi":"10.4018/978-1-59904-947-2.ch194","title":"Legislative Based for Personal Privacy Policy Specification","year":2008,"lang":"en","type":"book-chapter","venue":"Electronic Government","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Privacy policy; Privacy by Design; Information privacy; Internet privacy; Personally identifiable information; Legislation; Business; Legislature; Information privacy law; Privacy software; Privacy law; European union; Service (business); Computer security; Political science; Computer science; Marketing; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004705101,0.0002918227,0.0002695943,0.00006978269,0.0007116568,0.00006355841,0.000489796,0.0003237271,0.0004777703],"category_scores_gemma":[0.0003541605,0.0003234333,0.0002305727,0.00005835155,0.0002101016,0.0001894557,0.000095419,0.0004295466,0.00008577529],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007081517,"about_ca_system_score_gemma":0.002275571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005157365,"about_ca_topic_score_gemma":0.0008852068,"domain_scores_codex":[0.9972063,0.00005629669,0.0002768368,0.0005356194,0.001277576,0.0006473753],"domain_scores_gemma":[0.998937,0.000130014,0.0003699505,0.0003510894,0.00008676006,0.0001252278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002328774,0.000115417,0.000008367449,0.00003950489,0.0001382011,0.000002538068,0.009482405,8.426574e-7,0.00008093037,0.8976256,0.06527074,0.0270026],"study_design_scores_gemma":[0.000474568,0.0002222533,0.00003328399,0.00003108791,0.00003524766,0.000001307931,0.00008627343,0.0001049047,0.000130459,0.0299997,0.9685559,0.0003250267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005799816,0.001436324,0.008885211,0.01119006,0.000326267,0.002368099,0.000519764,0.0001396278,0.9750767],"genre_scores_gemma":[0.1848816,0.007554295,0.0005556646,0.0008326425,0.006372808,0.0003904917,0.0004583202,0.0001370651,0.7988171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9032851,"threshold_uncertainty_score":0.9999218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03273438879319641,"score_gpt":0.2859945592844025,"score_spread":0.2532601704912061,"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."}}