{"id":"W2900798344","doi":"10.1109/jbhi.2018.2881086","title":"Secure Similar Patients Query on Encrypted Genomic Data","year":2018,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Manitoba","funders":"","keywords":"Computer science; Outsourcing; Encryption; Scalability; Cloud computing; Information privacy; Adversary; Information sensitivity; Flexibility (engineering); Search engine indexing; Computer security; Database; Information retrieval","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":[0.002258662,0.0004566651,0.001442477,0.000682127,0.0009856955,0.001923514,0.001292083,0.001560395,0.00310109],"category_scores_gemma":[0.008653819,0.0002517596,0.0008751925,0.00156726,0.0009094411,0.004625843,0.003158156,0.00112654,0.001020884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285691,"about_ca_system_score_gemma":0.002073818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042942,"about_ca_topic_score_gemma":0.0008941913,"domain_scores_codex":[0.9960464,0.0009252408,0.0003768307,0.0006748613,0.001449056,0.0005275588],"domain_scores_gemma":[0.9941627,0.002401395,0.0004978434,0.002254201,0.000506576,0.000177264],"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":[0.007190584,0.0009312095,0.0133411,0.0007711682,0.0004583694,0.002974867,0.002583584,0.1867367,0.07112064,0.2705823,0.02691407,0.4163954],"study_design_scores_gemma":[0.0003556909,0.0004495927,0.001641465,0.00003764706,0.0001253652,0.002521266,0.0006245663,0.801958,0.05026952,0.1310714,0.0108799,0.00006564912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2535404,0.001036586,0.7297028,0.002557844,0.0002544715,0.0005807204,0.002179752,0.00211656,0.008030972],"genre_scores_gemma":[0.9127799,0.0003372099,0.08091,0.0004413449,0.0001180327,0.000158658,0.001405218,0.00006407745,0.003785608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00310109,"threshold_uncertainty_score":0.01194507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05171110410745283,"score_gpt":0.3204966208230047,"score_spread":0.2687855167155519,"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."}}