{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007902169,0.0002455982,0.0003976708,0.0000265532,0.00009969928,0.00003373644,0.0001806122,0.0001686043,0.00004354855],"category_scores_gemma":[0.0001590296,0.0002400765,0.0001914043,0.00007905051,0.0001832662,0.000004944606,0.0002632496,0.0001052557,0.000009135571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001666757,"about_ca_system_score_gemma":0.0002282701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002836666,"about_ca_topic_score_gemma":0.00006553942,"domain_scores_codex":[0.9984147,0.00006596362,0.0005226319,0.0005799399,0.0001229041,0.0002938688],"domain_scores_gemma":[0.9989805,0.00007840212,0.0002455945,0.0002418924,0.0002628863,0.0001907283],"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":[0.001209121,0.0002384858,0.3811617,0.000541492,0.0005079213,0.00006186548,0.0006244082,0.000107471,0.5831507,0.00002112799,0.002779465,0.02959624],"study_design_scores_gemma":[0.005125646,0.002244747,0.6944785,0.0001110989,0.0005904268,0.0001678222,0.000260159,0.003709413,0.2803604,0.00003682732,0.01158393,0.001331044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991687,0.005291819,0.000118355,0.000457719,0.0004422838,0.0005837355,0.001379321,0.00002015443,0.0000196322],"genre_scores_gemma":[0.995187,0.002342851,0.0003775861,0.001136231,0.0006594185,0.00006414151,0.0001348902,0.00004050057,0.00005740402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3133169,"threshold_uncertainty_score":0.9790035,"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."}}