{"id":"W3205621787","doi":"10.3390/cancers13205091","title":"The Evolution of Clinically Aggressive Triple-Negative Breast Cancer Shows a Large Mutational Diversity and Early Metastasis to Lymph Nodes","year":2021,"lang":"en","type":"article","venue":"Cancers","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"National Cancer Institute; Universidad Nacional Autónoma de México; Consejo Nacional de Ciencia y Tecnología; World Health Organization","keywords":"Triple-negative breast cancer; PTEN; Breast cancer; Medicine; Metastasis; Lymph; Targeted therapy; Copy-number variation; Lymph node; Exome sequencing; Cancer; Exome; Primary tumor; Cancer research; Oncology; Biology; Pathology; Mutation; Internal medicine; Gene; Genetics; PI3K/AKT/mTOR pathway; Genome","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":[0.000105809,0.0001527223,0.0001658092,0.0005292633,0.0001859945,0.0002749106,0.00006513113,0.0001644752,0.0005331996],"category_scores_gemma":[0.0003024438,0.00008519128,0.00008602534,0.0004174576,0.0001787927,0.0001319926,0.0001643893,0.000139622,0.00009661634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449349,"about_ca_system_score_gemma":0.00009670971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007140372,"about_ca_topic_score_gemma":0.001449405,"domain_scores_codex":[0.9999075,0.00001579505,0.000006275974,0.00002843606,0.00002670875,0.00001529201],"domain_scores_gemma":[0.9998821,0.00003023238,0.00005291254,0.00000854546,0.00001102131,0.00001518728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003216886,0.00002958887,0.2415977,0.00006512909,0.00005004184,0.001471037,0.0002797045,0.0005329158,0.7349681,0.0001884494,0.00008273292,0.02041281],"study_design_scores_gemma":[0.000003703377,0.0001350182,0.9702268,0.000006144718,0.00003045486,0.005109611,0.0001560712,0.0005148657,0.02259648,0.0001890059,0.001024692,0.000007142791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989605,0.0002790366,0.0003209049,0.00001723104,7.07079e-7,0.000002608856,0.0001357947,0.000004566162,0.0002786228],"genre_scores_gemma":[0.9990367,0.0001989924,0.0003034005,0.000013897,0.000002013674,0.000003611739,0.000241393,0.000003404298,0.0001967453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007140372,"threshold_uncertainty_score":0.001783729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193246165092865,"score_gpt":0.2730427102467367,"score_spread":0.2611102485958081,"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."}}