{"id":"W3216908060","doi":"10.1109/tcc.2021.3131287","title":"Efficient and Privacy-Preserving Similar Patients Query Scheme Over Outsourced Genomic Data","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Computer science; Cloud computing; Encryption; Outsourcing; Server; Security analysis; Tree (set theory); Information privacy; Query optimization; Scheme (mathematics); Cryptography; Computer security; Database; Computer network","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003543144,0.0002329804,0.0002360393,0.0001355786,0.0005711476,0.0003134763,0.001455567,0.00009092705,0.00002470007],"category_scores_gemma":[0.00003288644,0.0002546298,0.00009401917,0.0005792931,0.00005576293,0.0002181699,0.0002612932,0.0004014669,0.00001311314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004416484,"about_ca_system_score_gemma":0.00007567894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004514917,"about_ca_topic_score_gemma":0.0000211722,"domain_scores_codex":[0.9977674,0.000140152,0.000365517,0.0009566713,0.0003655819,0.0004046188],"domain_scores_gemma":[0.9973122,0.0002874685,0.0001118692,0.002025304,0.0001008963,0.0001622394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00031695,0.009729483,0.02238428,0.001089421,0.001509421,0.0004279017,0.02641293,0.4864425,0.02873355,0.01653579,0.006820571,0.3995972],"study_design_scores_gemma":[0.0008993241,0.00004573887,0.005953261,0.0000918136,0.00002404241,0.00001368084,0.00006762707,0.9889343,0.001909435,0.0002543406,0.001446046,0.0003603982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4618735,0.00007915466,0.5369398,0.0001278817,0.0006527506,0.00009185132,0.00006218599,0.000124815,0.00004807416],"genre_scores_gemma":[0.9399075,0.00001505799,0.05957598,0.0003625744,0.00009018092,0.000001947489,0.00002530875,0.0000170341,0.000004441766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5024918,"threshold_uncertainty_score":0.9999906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638046970385046,"score_gpt":0.2584726149986419,"score_spread":0.2320921452947915,"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."}}