{"id":"W2085237241","doi":"10.4018/irmj.2007010102","title":"Privacy Rights Management","year":2007,"lang":"en","type":"article","venue":"Information Resources Management Journal","topic":"Digital Rights Management and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Vrije Universiteit Brussel","keywords":"Privacy by Design; Information privacy law; Privacy policy; Information privacy; Privacy law; Business; European union; Data Protection Act 1998; Legislation; Legislature; Privacy software; Internet privacy; General Data Protection Regulation; Digital rights management; Data Protection Directive; Computer security; Political science; Law; Computer science; European Union law; International trade","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0155172,0.0007004797,0.0008703691,0.002443807,0.004762074,0.01272371,0.00322922,0.004371816,0.02854101],"category_scores_gemma":[0.03072745,0.0007012402,0.001453922,0.003353311,0.005737821,0.0152867,0.0078868,0.005298064,0.01259497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002682261,"about_ca_system_score_gemma":0.00659699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002076091,"about_ca_topic_score_gemma":0.001404668,"domain_scores_codex":[0.9791033,0.006599783,0.002032292,0.002679884,0.008060283,0.001524337],"domain_scores_gemma":[0.9765029,0.006884644,0.001390788,0.01144323,0.002974712,0.0008037009],"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":[0.00002834,0.0000530328,0.0006768748,0.0001608387,0.0000243203,0.0001907311,0.001407753,0.0007322015,0.001222152,0.83154,0.03745194,0.1265118],"study_design_scores_gemma":[0.00001778536,0.00003335735,0.0003706302,0.0002562718,0.00002198049,0.0006840259,0.0004429521,0.002160517,0.002500617,0.2213069,0.7721677,0.00003739646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00563558,0.00387965,0.4940222,0.01847007,0.00113074,0.001403882,0.001420309,0.00248738,0.4715502],"genre_scores_gemma":[0.2966898,0.00990025,0.3578415,0.01374729,0.002840267,0.002021912,0.005365805,0.001140832,0.3104523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02854101,"threshold_uncertainty_score":0.09547913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006419686606358395,"score_gpt":0.2152017542488489,"score_spread":0.2087820676424905,"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."}}