{"id":"W2972904252","doi":"10.1093/jnci/djz113","title":"Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification","year":2019,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Cancer Research; National Institutes of Health; National Cancer Institute; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; European Commission; Patient-Centered Outcomes Research Institute","keywords":"Medicine; Breast cancer; Risk assessment; Confidence interval; Cohort; Population; Cohort study; Demography; Risk stratification; Gynecology; Cancer; Internal medicine; Environmental health; Computer science","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":[0.0721994,0.001258406,0.0009041899,0.002029489,0.0004586304,0.002141695,0.001804552,0.001199431,0.001234344],"category_scores_gemma":[0.1190523,0.0005293944,0.001928468,0.001408553,0.000749083,0.001589479,0.002378281,0.001609538,0.0003299309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586284,"about_ca_system_score_gemma":0.002686859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005394002,"about_ca_topic_score_gemma":0.003786589,"domain_scores_codex":[0.9764969,0.01768936,0.001113864,0.001916003,0.002467986,0.0003159758],"domain_scores_gemma":[0.8996065,0.07994833,0.00515562,0.006671975,0.008081472,0.0005361295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001384426,0.0003902855,0.232631,0.000721876,0.002522686,0.0002221564,0.0007109637,0.6499903,0.001502627,0.007076406,0.003209009,0.09963828],"study_design_scores_gemma":[0.000234824,0.0008126874,0.06945453,0.0005468578,0.0008228084,0.0002766449,0.0003175808,0.9092131,0.003870884,0.01079912,0.003500247,0.000150666],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6283092,0.003072513,0.3559237,0.001459759,0.0001486309,0.0006581631,0.003182067,0.0009170271,0.006328905],"genre_scores_gemma":[0.9262548,0.0005226969,0.06948696,0.0001692208,0.00003954357,0.0002988578,0.00293952,0.00009079911,0.0001975948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0721994,"threshold_uncertainty_score":0.3818315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04391572684055019,"score_gpt":0.3372624800153876,"score_spread":0.2933467531748374,"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."}}