{"id":"W4401390982","doi":"10.1101/gr.279057.124","title":"Secure discovery of genetic relatives across large-scale and distributed genomic data sets","year":2024,"lang":"en","type":"article","venue":"Genome Research","topic":"Hedgehog Signaling Pathway Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Regional Medical Associates of Hamilton; National Cancer Institute; National Institutes of Health; National Human Genome Research Institute; Broad Institute","keywords":"Computer science; Identity by descent; Homomorphic encryption; Biobank; Identification (biology); Hash function; Matching (statistics); Locality-sensitive hashing; Data mining; Biology; Encryption; Hash table; Bioinformatics; Genetics; Computer security; Haplotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001260308,0.0001422254,0.0001853894,0.00006623294,0.0002126786,0.0001063983,0.0004750821,0.0001325731,0.000009170702],"category_scores_gemma":[0.0001708637,0.000126533,0.00004494514,0.0002612514,0.0003820192,0.00001234724,0.00232698,0.0002605929,0.00001935401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002564807,"about_ca_system_score_gemma":0.0001619043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002254153,"about_ca_topic_score_gemma":0.00006786851,"domain_scores_codex":[0.9980361,0.00017872,0.0002352864,0.0006796666,0.0002717417,0.0005984842],"domain_scores_gemma":[0.9989165,0.00008131872,0.00002754186,0.0007763413,0.0001150824,0.00008320902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005836249,0.00005346612,0.006420657,0.0003326673,0.0002306333,0.00003450109,0.001791119,0.0000566612,0.9886113,0.00005049884,0.001271129,0.001089044],"study_design_scores_gemma":[0.002225417,0.001778192,0.435102,0.0004554901,0.0001328507,0.000150865,0.01406704,0.00567305,0.122217,0.0017574,0.4148802,0.001560511],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487001,0.04209191,0.003605048,0.0001619782,0.00006456507,0.0002295849,0.005010747,0.0000135182,0.0001226006],"genre_scores_gemma":[0.9949304,0.002591557,0.0005420433,0.000007862547,0.0001701608,0.00001680565,0.001112725,0.0000327372,0.0005956485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8663943,"threshold_uncertainty_score":0.5159865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06916456787769729,"score_gpt":0.3918011276625009,"score_spread":0.3226365597848035,"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."}}