{"id":"W4378782503","doi":"10.1146/annurev-genom-110122-084756","title":"Federated Analysis for Privacy-Preserving Data Sharing: A Technical and Legal Primer","year":2023,"lang":"en","type":"review","venue":"Annual Review of Genomics and Human Genetics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Human Genome Research Institute; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Data sharing; Information privacy; Internet privacy; Computer science; Data Protection Act 1998; Data science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.0258989,0.001025327,0.00170504,0.006976004,0.001566153,0.006980758,0.003662734,0.005519637,0.003488781],"category_scores_gemma":[0.02619612,0.0007790041,0.002105258,0.008917542,0.0080075,0.0143292,0.004714454,0.00928478,0.002153895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004522745,"about_ca_system_score_gemma":0.008806708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002315573,"about_ca_topic_score_gemma":0.001540776,"domain_scores_codex":[0.9853161,0.007531788,0.001040213,0.0009580633,0.004653888,0.0005000074],"domain_scores_gemma":[0.9629557,0.02937398,0.001497949,0.00247681,0.003251756,0.000443842],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004848695,0.00008252795,0.000412323,0.006530594,0.0001283689,0.0003246316,0.0004615345,0.001059286,0.0005912934,0.4719886,0.02742395,0.4909483],"study_design_scores_gemma":[0.00001596795,0.00005689045,0.0003100034,0.009080913,0.00006785093,0.001311445,0.0002578994,0.000806234,0.0009250349,0.1281738,0.8589376,0.00005620975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003581941,0.9191118,0.03885385,0.03025793,0.001345756,0.00008853724,0.00007971791,0.0001033395,0.009800881],"genre_scores_gemma":[0.00741134,0.947291,0.03325956,0.007898454,0.001840831,0.0002070439,0.0001532528,0.00005903334,0.001879674],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9963373,"threshold_uncertainty_score":0.1369681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1519487372290538,"score_gpt":0.3996860906048327,"score_spread":0.2477373533757789,"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."}}