{"id":"W2060963954","doi":"10.1109/isb.2014.6990752","title":"PRECISE: PRivacy-preserving cloud-assisted quality improvement service in healthcare","year":2014,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. National Library of Medicine; National Human Genome Research Institute; National Heart, Lung, and Blood Institute","keywords":"Homomorphic encryption; Computer science; Cloud computing; Health care; Encryption; Pooling; Computer security; Cryptography; Information privacy; Internet privacy","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":[],"consensus_categories":[],"category_scores_codex":[0.001314478,0.0001667668,0.0002356622,0.0001240245,0.0001152898,0.0001784384,0.002034931,0.00009042846,0.00003611226],"category_scores_gemma":[0.0001277618,0.0001519398,0.00006784014,0.0009901447,0.00001680871,0.0006465507,0.001622573,0.0002199454,0.00002761193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000522001,"about_ca_system_score_gemma":0.00005653502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007817954,"about_ca_topic_score_gemma":0.008168004,"domain_scores_codex":[0.9978291,0.0002691013,0.0004804498,0.0006090754,0.0003829018,0.00042937],"domain_scores_gemma":[0.9975963,0.0001845986,0.0001231129,0.001787313,0.0001293751,0.0001793572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004162718,0.0004253486,0.02525059,0.0004491363,0.00001803326,0.000003685349,0.001751062,0.00002222691,0.002180934,0.8220671,0.002497358,0.1452929],"study_design_scores_gemma":[0.002917535,0.0004047317,0.6586388,0.00016343,0.000007519766,0.000007276106,0.0002285294,0.09566474,0.005164603,0.1934431,0.04221588,0.001143843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4538363,0.0001260981,0.5153533,0.02508345,0.0007275018,0.0005870188,0.00002072221,0.0004842089,0.003781507],"genre_scores_gemma":[0.9547048,0.00001122441,0.04177677,0.003366095,0.00007270824,0.00003049281,0.00001817322,0.000006890546,0.00001288725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6333882,"threshold_uncertainty_score":0.9987891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384041042032478,"score_gpt":0.3070344749251006,"score_spread":0.2731940645047758,"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."}}