{"id":"W4414717576","doi":"10.1158/1055-9965.epi-25-0529","title":"Breast Cancer Polygenic Risk Score Associated with Outcomes after <i>In Situ</i> Breast Disease","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; European Commission; National Cancer Institute; Cancer Research UK; National Institutes of Health; King's College London","keywords":"Polygenic risk score; Breast cancer; Disease; Risk assessment; Health care; Breast disease; MEDLINE","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":[0.0008329049,0.0002516813,0.0002175656,0.0004390142,0.000287449,0.0003793335,0.0002284646,0.0003218803,0.00187787],"category_scores_gemma":[0.002155673,0.0001026783,0.000919467,0.00070889,0.0002489041,0.0001302299,0.000327138,0.0005143226,0.000141507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002462704,"about_ca_system_score_gemma":0.0003220789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005416029,"about_ca_topic_score_gemma":0.004698305,"domain_scores_codex":[0.9995292,0.0001757869,0.00003310275,0.0001221881,0.00005288433,0.00008671537],"domain_scores_gemma":[0.9976789,0.0008109242,0.0008768231,0.0002151409,0.0001240856,0.0002942381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002254221,0.00001718143,0.9978912,0.000004783522,0.0001520321,0.0000806001,0.00001704444,0.000225885,0.000415287,0.00003047726,0.00004788609,0.0008921401],"study_design_scores_gemma":[0.000006645131,0.00005675115,0.9988086,0.000002135447,0.00007235796,0.0001781137,0.00001725904,0.0006597425,0.00007405502,0.00005736172,0.00006458793,0.000002521863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991513,0.00009304919,0.0002262895,0.00003441875,0.000003285511,0.000004255588,0.000268454,0.000004804701,0.0002139853],"genre_scores_gemma":[0.9996808,0.00001415583,0.0000591524,0.000005400414,0.000002432732,0.000002326291,0.0001795741,9.843367e-7,0.00005533326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005416029,"threshold_uncertainty_score":0.01076901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264519969219655,"score_gpt":0.3064031760626772,"score_spread":0.2937579763704806,"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."}}