{"id":"W3180876344","doi":"10.1093/bioinformatics/btab292","title":"Expected 10-anonymity of HyperLogLog sketches for federated queries of clinical data repositories","year":2021,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Cancer Institute; Division of Mathematical Sciences; University of Toronto","keywords":"Anonymity; Computer science; Confidentiality; Sketch; Probabilistic logic; Aggregate (composite); Sorting; Protocol (science); Code (set theory); Information retrieval; Data mining; Computer security; Algorithm; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0008663338,0.0001465527,0.0005066505,0.00006445104,0.0001009246,0.0001143088,0.01318064,0.0002194967,0.000008621826],"category_scores_gemma":[0.077193,0.000131009,0.00008517091,0.0004924939,0.0002997891,0.00122559,0.04382094,0.0001388648,0.000003380475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001640368,"about_ca_system_score_gemma":0.0004593949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001401949,"about_ca_topic_score_gemma":0.00001330965,"domain_scores_codex":[0.997707,0.00006675666,0.001389393,0.0002958628,0.0003107341,0.0002302396],"domain_scores_gemma":[0.9882727,0.0009329571,0.0007405066,0.0093838,0.0006213637,0.00004866123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001599895,0.0006433296,0.01384832,0.001656878,0.0005063033,0.00002521494,0.001037609,0.000006381124,0.002456218,0.01158877,0.8709857,0.09708522],"study_design_scores_gemma":[0.001675166,0.0005296097,0.00523887,0.000259766,0.00008158632,0.00006302186,0.00178841,0.653474,0.2778763,0.0316749,0.02668618,0.0006521424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06427234,0.0004712238,0.9255546,0.004038848,0.001635918,0.0004765428,0.0008326689,0.0007163671,0.002001537],"genre_scores_gemma":[0.05004336,0.00008643647,0.9494196,0.00004524075,0.00004335695,0.000008543145,0.0002807616,0.000007335496,0.00006535689],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8442996,"threshold_uncertainty_score":0.9921585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1350247034792257,"score_gpt":0.3642481111285533,"score_spread":0.2292234076493276,"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."}}