{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002472522,0.0001384397,0.0002804737,0.000756965,0.0001582368,0.0003729762,0.0001346956,0.0002308232,0.00193029],"category_scores_gemma":[0.001066746,0.00008439523,0.0002866829,0.0005298713,0.0001360602,0.0001960757,0.0002513423,0.0001461671,0.0002655813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001901386,"about_ca_system_score_gemma":0.00009923796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332914,"about_ca_topic_score_gemma":0.001801152,"domain_scores_codex":[0.9998447,0.00002569621,0.00001500903,0.00005542954,0.00002348918,0.00003568467],"domain_scores_gemma":[0.9994468,0.0001520942,0.0002300573,0.00003187868,0.00004680257,0.00009229365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002530942,0.0000119225,0.9913932,0.00001277612,0.00004491862,0.0001654682,0.00009921194,0.0001273405,0.003714719,0.00002553101,0.0001000706,0.004051852],"study_design_scores_gemma":[0.000003972389,0.00004339961,0.9980405,0.000003621047,0.00002518215,0.0007300029,0.00009939047,0.0003669413,0.0003857446,0.00006699323,0.0002312297,0.000003123369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994373,0.0001357681,0.00008490546,0.000009248991,8.596373e-7,0.000001860914,0.0001936829,0.000003915664,0.0001325015],"genre_scores_gemma":[0.9993463,0.00006539137,0.00008546132,0.00001221451,0.00000276612,0.000002180384,0.0004140816,0.000004307085,0.00006729683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00193029,"threshold_uncertainty_score":0.006457508,"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."}}