{"id":"W3012173974","doi":"10.1186/s12885-020-6684-z","title":"Mutational landscape differences between young-onset and older-onset breast cancer patients","year":2020,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Queen's University; Alberta Cancer Foundation; University of Calgary","funders":"Canadian Institutes of Health Research; Canadian Cancer Society","keywords":"Breast cancer; Age of onset; Medicine; Surgical oncology; Germline mutation; Genetics; Young adult; Mutation; Cancer; Oncology; Biology; Gene; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002787478,0.0001524603,0.000157351,0.00001837682,0.00007566888,0.00004358457,0.0001145353,0.00008914,0.0001845246],"category_scores_gemma":[0.00003433943,0.0001432942,0.00004829177,0.00006609062,0.00006316246,0.000004349136,0.0001004423,0.00006387323,0.000005336133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000181122,"about_ca_system_score_gemma":0.0002121519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003045321,"about_ca_topic_score_gemma":0.0009068853,"domain_scores_codex":[0.9991465,0.00002174044,0.0001605354,0.0003467823,0.0001311299,0.0001933511],"domain_scores_gemma":[0.9995393,0.00002921924,0.0000777631,0.0001032158,0.00008959302,0.0001608933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007974447,0.00002059168,0.9783593,0.00002965433,0.00004518566,5.465735e-7,0.0001137379,0.00003120775,0.0002857962,0.000003889121,0.01921018,0.001820189],"study_design_scores_gemma":[0.0009139514,0.00008940929,0.9939033,0.00001923023,0.00004782344,0.000003043935,0.00004096697,0.0001014515,0.000727395,0.00002211706,0.003916339,0.0002149959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925516,0.001373843,0.0001610334,0.000819972,0.0001927171,0.0001582366,0.004622484,0.00000943167,0.0001106964],"genre_scores_gemma":[0.9967474,0.0008889217,0.00007864285,0.0008874657,0.0007416498,0.00007944243,0.0004519071,0.00002011113,0.0001044432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.015544,"threshold_uncertainty_score":0.5843369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401866320151695,"score_gpt":0.2508923915511929,"score_spread":0.2368737283496759,"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."}}