{"id":"W2093293314","doi":"10.1158/1055-9965.epi-06-0092","title":"Genetic Ancestry and Risk Factors for Breast Cancer among Latinas in the San Francisco Bay Area","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute; U.S. Department of Defense","keywords":"Genetic genealogy; Breast cancer; Demography; Odds ratio; Ancestry-informative marker; Medicine; Body mass index; Population; Overweight; Logistic regression; Population stratification; Cancer; Gerontology; Internal medicine; Allele; Allele frequency; Genetics; Biology; Genotype; Single-nucleotide polymorphism; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004283444,0.000235484,0.0001852332,0.0007060189,0.0005966321,0.0004488972,0.0002541518,0.0001839687,0.001225891],"category_scores_gemma":[0.001152141,0.0001529892,0.0002115958,0.0005879965,0.0003242108,0.0001415104,0.0002741594,0.0002994042,0.00009471535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005676145,"about_ca_system_score_gemma":0.0003832989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1291427,"about_ca_topic_score_gemma":0.1180926,"domain_scores_codex":[0.999848,0.00004563436,0.00001186436,0.00004275449,0.0000266864,0.00002491597],"domain_scores_gemma":[0.9995167,0.00007386959,0.0002149069,0.00003480352,0.00006163654,0.00009806413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005065825,0.00002183177,0.9980918,0.000006414625,0.00003346901,0.00005436548,0.0002387311,0.00001953385,0.0001802333,0.0000131313,0.00006747219,0.001222457],"study_design_scores_gemma":[0.000008718205,0.00002509159,0.9989589,0.00001670666,0.00004001103,0.0001036981,0.0004872954,0.00008066556,0.00003031991,0.00002480007,0.0002217492,0.000002016309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991603,0.0002421185,0.00003947775,0.00008433517,0.000003148994,0.000005443113,0.0000845206,0.000002722217,0.0003780424],"genre_scores_gemma":[0.9993299,0.0002361855,0.0001012126,0.00004021379,0.000006850189,0.000007309324,0.0001094432,0.000002064101,0.0001668238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1291427,"threshold_uncertainty_score":0.2567819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054969260502497,"score_gpt":0.3280167740363018,"score_spread":0.2974670814312768,"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."}}