{"id":"W3105152205","doi":"10.3390/genes11111367","title":"Comprehensive Genomic Profile of Heterogeneous Long Follow-Up Triple-Negative Breast Cancer and Its Clinical Characteristics Shows DNA Repair Deficiency Has Better Prognostic","year":2020,"lang":"en","type":"article","venue":"Genes","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"Universidad Nacional Autónoma de México; Consejo Nacional de Ciencia y Tecnología; World Health Organization","keywords":"Triple-negative breast cancer; Breast cancer; DNA; genomic DNA; Biology; Oncology; Cancer research; Internal medicine; Genetics; Cancer; Medicine","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":[0.00008679255,0.0001106338,0.0001266022,0.0003916051,0.0001843527,0.0001912064,0.00006847939,0.0001180302,0.0009227915],"category_scores_gemma":[0.0002767794,0.00005725875,0.00009575563,0.0004004066,0.0001022744,0.00007222348,0.0001737735,0.0001050284,0.0001318731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246893,"about_ca_system_score_gemma":0.00009461534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372698,"about_ca_topic_score_gemma":0.002133933,"domain_scores_codex":[0.999947,0.00000914794,0.000003704592,0.00002007541,0.000007852501,0.00001222685],"domain_scores_gemma":[0.9999059,0.00001720877,0.00003591003,0.000009963224,0.00001424684,0.00001675218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003474691,0.00003308629,0.921248,0.00003277222,0.0000570548,0.001127923,0.0002689131,0.0001663576,0.06662078,0.00005784434,0.0002080682,0.009831705],"study_design_scores_gemma":[0.000003369056,0.00005916259,0.995279,0.000003854954,0.00003140754,0.001716902,0.0001833134,0.000162586,0.001786199,0.0000405634,0.000731169,0.000002525107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992445,0.000112175,0.0001603494,0.00001619663,7.812579e-7,0.000002273878,0.0003259964,0.000002751773,0.0001349854],"genre_scores_gemma":[0.9988777,0.00008629178,0.00017557,0.00001675601,0.000001914458,0.000005017327,0.0006489331,0.000002669382,0.0001851759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001372698,"threshold_uncertainty_score":0.003087044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600257838486182,"score_gpt":0.2799864252324184,"score_spread":0.2439838468475566,"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."}}