{"id":"W4385889346","doi":"10.17615/7c17-8b80","title":"Evaluating Polygenic Risk Scores for Breast Cancer in Women of African Ancestry","year":2023,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Cancer Research UK; Government of Canada; European Commission; Fondation du cancer du sein du Québec; Canadian Institutes of Health Research; Genome Canada","keywords":"Polygenic risk score; Breast cancer; Demography; Oncology; Medicine; Biology; Statistics; Cancer; Internal medicine; Genetics; Mathematics; Gene; Sociology; Genotype; Single-nucleotide polymorphism","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004074042,0.0006144543,0.0003391941,0.001922247,0.0003470792,0.0005716569,0.0003791316,0.0004591334,0.001062688],"category_scores_gemma":[0.008545817,0.000210708,0.0007871628,0.001371429,0.0003838531,0.0003371491,0.0006605539,0.0004292549,0.0001841424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563858,"about_ca_system_score_gemma":0.0002515655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031113,"about_ca_topic_score_gemma":0.00321436,"domain_scores_codex":[0.9985727,0.0008309024,0.00009580144,0.0002283663,0.0001760071,0.00009612074],"domain_scores_gemma":[0.9958317,0.001762301,0.00160325,0.0003570174,0.0002449487,0.0002009599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001233192,0.000007495667,0.9973525,0.000004669904,0.00009450462,0.00001929238,0.00003049609,0.0002228593,0.0001152843,0.0000219338,0.00003964311,0.001968076],"study_design_scores_gemma":[0.00001133194,0.0001996081,0.9946056,0.000008292406,0.0001242119,0.0002624475,0.00007910063,0.004132088,0.0001897426,0.0001948493,0.0001861878,0.000006690293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986185,0.0001772243,0.000724718,0.00003766757,0.000003836387,0.00001213527,0.0001928816,0.00001226351,0.0002207719],"genre_scores_gemma":[0.9989373,0.00005087146,0.0007273052,0.000007100037,0.000006081532,0.000007789689,0.0002182016,0.000002736155,0.00004260566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004074042,"threshold_uncertainty_score":0.02154583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1436726428333615,"score_gpt":0.3922680782716473,"score_spread":0.2485954354382858,"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."}}