{"id":"W4399042930","doi":"10.2196/54332","title":"Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review","year":2024,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Genetic data; Data mining; Data type; Data science; Set (abstract data type); Information retrieval; Medicine; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0244892,0.001598377,0.003532847,0.02116682,0.001217777,0.004395125,0.002752868,0.003834122,0.003552654],"category_scores_gemma":[0.1523308,0.001350212,0.00668748,0.01621985,0.002242801,0.0063061,0.002998297,0.002607599,0.0007689712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004243898,"about_ca_system_score_gemma":0.01750696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006880463,"about_ca_topic_score_gemma":0.007436136,"domain_scores_codex":[0.9837136,0.005771367,0.005292984,0.001210491,0.003591324,0.0004201572],"domain_scores_gemma":[0.7331223,0.236833,0.01286151,0.003756606,0.01289059,0.0005360555],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000187495,0.00005700062,0.001842776,0.5348803,0.002526868,0.000397403,0.001208573,0.001242343,0.0003765788,0.007696698,0.008525747,0.4410581],"study_design_scores_gemma":[0.00002490594,0.0001261444,0.001743284,0.872088,0.007151662,0.0009056248,0.0007630567,0.0004178881,0.0006250975,0.005541718,0.1105475,0.0000651382],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005437183,0.9956324,0.001279992,0.000916113,0.0001322008,0.0001394214,0.0002316385,0.000020633,0.001103898],"genre_scores_gemma":[0.005644833,0.9911821,0.001869984,0.000606932,0.0001096067,0.0002339421,0.0002332945,0.0000126084,0.0001067141],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9755108,"threshold_uncertainty_score":0.1295128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963627044924258,"score_gpt":0.3425094412585739,"score_spread":0.3128731708093313,"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."}}