{"id":"W2225232057","doi":"10.1007/978-0-387-70992-5_9","title":"A Survey of Utility-based Privacy-Preserving Data Transformation Methods","year":2008,"lang":"en","type":"book-chapter","venue":"˜The œKluwer international series on advances in database systems","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data publishing; Information privacy; Privacy protection; Table (database); Data anonymization; Privacy software; Information loss; Data mining; Publishing; Computer security; Artificial intelligence","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":[0.004094956,0.001092708,0.00229853,0.002818251,0.0009651102,0.003491755,0.003696084,0.001139581,0.002825994],"category_scores_gemma":[0.00765303,0.0008495196,0.001940505,0.009303897,0.001737,0.006015116,0.00309843,0.003309156,0.00119605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137718,"about_ca_system_score_gemma":0.001782927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009778478,"about_ca_topic_score_gemma":0.0007102821,"domain_scores_codex":[0.9940686,0.001329502,0.0005776529,0.0008809146,0.002893575,0.0002497279],"domain_scores_gemma":[0.9957322,0.001921764,0.0002278893,0.001492569,0.0005566409,0.00006895143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001768373,0.0001669446,0.0006185114,0.001266759,0.0001258113,0.00006432718,0.0001622617,0.01675329,0.002303682,0.1230108,0.008854737,0.8464961],"study_design_scores_gemma":[0.0001179139,0.0004111363,0.001451447,0.0008117847,0.0002894574,0.002098208,0.0002429165,0.3490303,0.02208176,0.4376122,0.1856851,0.0001677596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.003126027,0.05533353,0.9348338,0.0006496066,0.000184666,0.0001352605,0.0002077182,0.0009892149,0.004540097],"genre_scores_gemma":[0.139982,0.07879198,0.7682933,0.0009629789,0.0008189096,0.0004531787,0.001374108,0.0006884502,0.008635101],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004094956,"threshold_uncertainty_score":0.02165645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09989947243160201,"score_gpt":0.3596950680291929,"score_spread":0.2597955955975909,"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."}}