{"id":"W2231083320","doi":"10.22215/etd/2008-06473","title":"Novel micro-aggregation techniques for secure statistical databases","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"Hashemite University","keywords":"Computer science; Information retrieval; Database","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":[0.002180529,0.0005897679,0.0009881698,0.001816505,0.001032234,0.002639108,0.001459814,0.0005388992,0.003895798],"category_scores_gemma":[0.007660711,0.0005500016,0.0008895184,0.003306187,0.0008276094,0.003775356,0.003309156,0.001487302,0.001974906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000926132,"about_ca_system_score_gemma":0.001502738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009850172,"about_ca_topic_score_gemma":0.001937291,"domain_scores_codex":[0.9960328,0.0007896782,0.0004557489,0.0004645794,0.001973446,0.0002838131],"domain_scores_gemma":[0.9905748,0.002154212,0.0008737123,0.004943278,0.001243336,0.0002107578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006555167,0.0002331313,0.003930534,0.0001623567,0.0001874243,0.0003210983,0.0006648447,0.03698323,0.02747092,0.1706171,0.01370313,0.7450707],"study_design_scores_gemma":[0.00008579482,0.000265352,0.001690666,0.00005383685,0.0001308201,0.001132379,0.0003462175,0.739346,0.04369583,0.1761058,0.03708359,0.00006380285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01361335,0.000517831,0.9817145,0.0004213061,0.0001159652,0.00007430863,0.0001484162,0.001439003,0.001955341],"genre_scores_gemma":[0.3164341,0.0008256118,0.6716353,0.0003446416,0.0004991478,0.000219539,0.0006024131,0.0003457276,0.009093539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003895798,"threshold_uncertainty_score":0.01303273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178988269904404,"score_gpt":0.3221447583006916,"score_spread":0.2903548756016476,"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."}}