{"id":"W4401164625","doi":"10.1109/csp62567.2024.00013","title":"An Application Evaluation for Differentially Private Database Release Methods","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; 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":[0.01934392,0.0008189432,0.0009896853,0.002163179,0.00120887,0.002715713,0.002215893,0.00190104,0.003605006],"category_scores_gemma":[0.06242121,0.0002890308,0.0007081429,0.002614206,0.001122484,0.003862002,0.002396696,0.001658641,0.0007766615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002759358,"about_ca_system_score_gemma":0.001503031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003398166,"about_ca_topic_score_gemma":0.002017241,"domain_scores_codex":[0.9739209,0.01367133,0.001341036,0.001432599,0.008892489,0.000741608],"domain_scores_gemma":[0.9430151,0.03435063,0.001736824,0.009420145,0.01066461,0.0008126715],"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":[0.00473346,0.002118401,0.01196947,0.002395525,0.0003518013,0.0003373279,0.0007291231,0.1562317,0.0113381,0.06118909,0.01544671,0.7331594],"study_design_scores_gemma":[0.0004924649,0.003205379,0.006521115,0.0002733342,0.0001401385,0.0008950126,0.0006119764,0.9373081,0.01382943,0.01676827,0.01986222,0.00009264613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4498194,0.01102016,0.4920605,0.004565138,0.0008823024,0.002777983,0.001318219,0.003617283,0.033939],"genre_scores_gemma":[0.8236821,0.001896594,0.1686662,0.0003706829,0.0001634666,0.0006034525,0.001133499,0.0001765811,0.003307369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01934392,"threshold_uncertainty_score":0.1023016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05221623195628605,"score_gpt":0.4147526044461127,"score_spread":0.3625363724898266,"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."}}