{"id":"W3146266057","doi":"10.5488/cmp.11.4.761","title":"nformation and data protection within a RDBMS","year":2008,"lang":"en","type":"article","venue":"Condensed Matter Physics","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Computer science; Encryption; Relational database management system; Computer security; SQL; Database; Oracle; Relational database; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007291363,0.00009941305,0.00009635217,0.00003705003,0.0001378065,0.00006255996,0.0007524405,0.00004082615,0.000002913138],"category_scores_gemma":[0.00002408345,0.00009430799,0.000008921751,0.0001885537,0.0001142345,0.002432717,0.0008501768,0.0001354694,0.000155448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001927626,"about_ca_system_score_gemma":0.00002502219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008261611,"about_ca_topic_score_gemma":0.000001164171,"domain_scores_codex":[0.9992762,0.00001485939,0.0001342732,0.0003046623,0.0001392335,0.0001307366],"domain_scores_gemma":[0.9985475,0.00001744969,0.000104581,0.001268747,0.00003713075,0.00002462324],"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":[0.00008594603,0.0004641439,0.004248051,0.0006282252,0.0001968166,0.0002895089,0.01924336,0.001303735,0.1228708,0.1743054,0.1130607,0.5633034],"study_design_scores_gemma":[0.002313159,0.0002728653,0.008100742,0.0001147895,0.00002975803,0.00117882,0.0003271203,0.5351605,0.1220905,0.3165869,0.01218714,0.001637744],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0462832,0.00002487195,0.9522069,0.0005400105,0.0001128144,0.0001972464,0.00001382755,0.0004039512,0.0002172485],"genre_scores_gemma":[0.9029778,0.000008870552,0.09607996,0.000692886,0.00004218928,0.00002492855,0.000041661,0.00001006781,0.0001216979],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8566945,"threshold_uncertainty_score":0.3845769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06319973063614848,"score_gpt":0.2635419113854663,"score_spread":0.2003421807493179,"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."}}