{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004520975,0.001224458,0.0006694809,0.001849211,0.0005004096,0.001761142,0.000506878,0.001242388,0.006177572],"category_scores_gemma":[0.02252809,0.0004321853,0.002015425,0.001568911,0.0004553238,0.001115347,0.0008873056,0.002413422,0.001077804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000577188,"about_ca_system_score_gemma":0.0006059091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009242968,"about_ca_topic_score_gemma":0.01024437,"domain_scores_codex":[0.998189,0.0009688188,0.000149118,0.0003355392,0.0002500171,0.0001075284],"domain_scores_gemma":[0.9920093,0.004706501,0.001073429,0.0006442884,0.001028428,0.0005380127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007462041,0.000202989,0.8111824,0.0003003383,0.002212529,0.0002825391,0.0003080037,0.00132727,0.0006938175,0.002266298,0.02564804,0.1548295],"study_design_scores_gemma":[0.0003328194,0.001294175,0.8954759,0.001139452,0.003722978,0.001777499,0.0004981952,0.0189299,0.001587661,0.02641581,0.04852379,0.0003018527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7913476,0.04782231,0.03468621,0.08069949,0.0047617,0.0004284396,0.01375406,0.001145665,0.02535445],"genre_scores_gemma":[0.9588783,0.006369615,0.01634784,0.006539156,0.002167225,0.0001301419,0.003971914,0.0001038964,0.005491892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009242968,"threshold_uncertainty_score":0.02390945,"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."}}