{"id":"W2056402768","doi":"10.1373/clinchem.2013.207167","title":"The Omics of Triple-Negative Breast Cancers","year":2013,"lang":"en","type":"review","venue":"Clinical Chemistry","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Triple-negative breast cancer; Transcriptome; Biology; Exome sequencing; Breast cancer; Cancer research; Disease; Phenotype; Targeted therapy; Progesterone receptor; Triple negative; Estrogen receptor; Computational biology; Oncology; Gene; Cancer; Internal medicine; Genetics; Medicine; Gene expression","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":[0.0005362843,0.0006045296,0.001106415,0.002587446,0.0004664148,0.001807752,0.0004995439,0.000556275,0.002586562],"category_scores_gemma":[0.001470057,0.000210663,0.0008713873,0.003747476,0.0003281676,0.000789073,0.001411491,0.00103114,0.000801509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005560084,"about_ca_system_score_gemma":0.00069537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008108114,"about_ca_topic_score_gemma":0.00129318,"domain_scores_codex":[0.9994815,0.00009127324,0.00005091033,0.000156979,0.0001624049,0.0000570308],"domain_scores_gemma":[0.9991471,0.0002833391,0.0002430075,0.0001134458,0.0001128061,0.00010037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001482982,0.0001194737,0.1641401,0.01932429,0.003102132,0.003971787,0.001672469,0.005415877,0.175015,0.02797005,0.1103227,0.4874632],"study_design_scores_gemma":[0.00007435797,0.0002008675,0.3261054,0.003521314,0.001394338,0.00645343,0.001419629,0.004761262,0.01038391,0.07190796,0.5736424,0.0001350052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2776034,0.434916,0.02358229,0.02009593,0.001984502,0.0002001489,0.2154703,0.001430162,0.02471724],"genre_scores_gemma":[0.5325544,0.2399932,0.04083518,0.00930727,0.002201566,0.0004767299,0.1692529,0.0003889787,0.004989777],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002587446,"threshold_uncertainty_score":0.008652925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05590631821458913,"score_gpt":0.3941802602885916,"score_spread":0.3382739420740025,"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."}}