{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002557474,0.0004665651,0.001497631,0.001002828,0.001393883,0.00184143,0.001951851,0.001249708,0.00214736],"category_scores_gemma":[0.006231421,0.0003121399,0.001212078,0.003347949,0.001056837,0.004735497,0.00419151,0.001318941,0.0007359851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788686,"about_ca_system_score_gemma":0.003220111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002792804,"about_ca_topic_score_gemma":0.001741469,"domain_scores_codex":[0.9937065,0.001402053,0.0005653171,0.0009440871,0.002328771,0.001053248],"domain_scores_gemma":[0.9952336,0.001015648,0.0005851649,0.002118241,0.00073519,0.000312201],"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":[0.00489683,0.0007459546,0.01363975,0.0008034891,0.0004550803,0.00251912,0.003124953,0.1334195,0.08952642,0.3170509,0.0282525,0.4055654],"study_design_scores_gemma":[0.000614699,0.0008320226,0.004752514,0.0000755452,0.0002645423,0.005744488,0.001381547,0.739079,0.06133017,0.1538326,0.03181659,0.0002762672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.146834,0.001426503,0.8392717,0.001919184,0.0001799024,0.000761334,0.002169087,0.001499537,0.005938865],"genre_scores_gemma":[0.9027933,0.0005526904,0.0912682,0.0004969953,0.00008258385,0.000192371,0.001301253,0.00006411537,0.003248503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002792804,"threshold_uncertainty_score":0.01352537,"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."}}