{"id":"W2800794942","doi":"10.1097/01.cot.0000533703.22314.d7","title":"Polygenic Risk Scores Could Help Predict Second Primary Breast Cancer","year":2018,"lang":"en","type":"article","venue":"Oncology Times","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Polygenic risk score; Medicine; Oncology; Population; Cancer; Internal medicine; Gynecology; Genetics; Environmental health; Biology; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001878237,0.0001791008,0.0001976052,0.0000548037,0.0001739574,0.0000161004,0.0002727431,0.0003357705,0.00286039],"category_scores_gemma":[0.00003069799,0.0001702726,0.00008483946,0.000108846,0.0005155675,0.000006105362,0.0001670258,0.0001603065,0.0001567736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074507,"about_ca_system_score_gemma":0.001058954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000641262,"about_ca_topic_score_gemma":0.0006988549,"domain_scores_codex":[0.9987826,0.0001093566,0.0002162651,0.0004522766,0.0001147026,0.0003248261],"domain_scores_gemma":[0.9991364,0.00002669331,0.0001524405,0.0004133553,0.0001772046,0.00009383654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004985244,0.0001693694,0.07008416,0.00002872428,0.0005237495,0.000007779632,0.0002182922,0.00003299747,0.2399343,0.00005034716,0.6410712,0.04738052],"study_design_scores_gemma":[0.001405515,0.001005159,0.1668897,0.00001836172,0.0001477326,0.0001784406,0.00009363794,0.00008244118,0.08650124,0.000211474,0.7430733,0.0003929457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436027,0.003923875,0.0002183737,0.001283707,0.001287662,0.0002850424,0.0008129855,0.00004914784,0.04853644],"genre_scores_gemma":[0.9721062,0.0007304447,0.001445318,0.002090752,0.002521135,0.0001463072,0.0001467832,0.0000472697,0.02076578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1534331,"threshold_uncertainty_score":0.9980511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007781274160087981,"score_gpt":0.2830375076455224,"score_spread":0.2752562334854344,"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."}}