{"id":"W2564383306","doi":"10.1200/jco.2016.67.1503","title":"Personal Genomic Testing for Cancer Risk: Results From the Impact of Personal Genomics Study","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Harvard T.H. Chan School of Public Health; National Human Genome Research Institute; Brigham and Women's Hospital; University of Minnesota; National Cancer Institute; National Institutes of Health","keywords":"Medicine; Personal genomics; Prostate cancer; Breast cancer; Cancer; Colorectal cancer; Odds ratio; Genetic testing; Family history; Internal medicine; Oncology; Gerontology; Genomics; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003273931,0.0002310198,0.0002317039,0.0005249906,0.0004208586,0.0006976344,0.0003249435,0.0004826185,0.002199044],"category_scores_gemma":[0.01094188,0.0001212405,0.0005195264,0.0008793008,0.0002843634,0.000448983,0.0008634733,0.0006038676,0.0003591425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005634231,"about_ca_system_score_gemma":0.0007127326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009691776,"about_ca_topic_score_gemma":0.005190993,"domain_scores_codex":[0.9977703,0.001115249,0.000103144,0.0002495833,0.0005726442,0.0001891702],"domain_scores_gemma":[0.989996,0.004188837,0.002083717,0.0008538412,0.001344628,0.001532958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003987707,0.0002529777,0.9821728,0.00003550107,0.00009232828,0.0000845535,0.0002780296,0.00006560524,0.000108783,0.00003988897,0.0008412104,0.01562938],"study_design_scores_gemma":[0.00002760204,0.0005320159,0.9966837,0.00001901641,0.0001080578,0.0002243684,0.0003619148,0.0001738532,0.0001488382,0.00006446601,0.001647117,0.0000091718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992195,0.0007745847,0.0003422258,0.0006653158,0.00001733386,0.0001249119,0.001809899,0.00002584927,0.00404489],"genre_scores_gemma":[0.99761,0.0003603562,0.0003483372,0.0003494075,0.00002878047,0.00007641167,0.0007083879,0.000008433367,0.0005098284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009691776,"threshold_uncertainty_score":0.01927072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1669977163892583,"score_gpt":0.4927667877426991,"score_spread":0.3257690713534408,"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."}}