{"id":"W2146223122","doi":"10.1186/bcr3017","title":"A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis","year":2011,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Institute of Cancer Research; University of Toronto; Ontario Institute for Cancer Research","funders":"University Health Network; Genome Canada","keywords":"Surgical oncology; Breast cancer; Medicine; Signature (topology); Cancer; Oncology; Bioinformatics; Computational biology; Internal medicine; Biology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005821293,0.0001727466,0.0002011706,0.00005958146,0.0002356012,0.00001415751,0.0003326379,0.0001514711,0.0002106318],"category_scores_gemma":[0.0000730461,0.0001029281,0.00008692817,0.0002761316,0.000513163,0.00001206691,0.0003320275,0.0001775223,0.000003784667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008595765,"about_ca_system_score_gemma":0.0003472652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250538,"about_ca_topic_score_gemma":0.0001970551,"domain_scores_codex":[0.9981643,0.0002892524,0.0003407446,0.0004653016,0.0004507772,0.0002896524],"domain_scores_gemma":[0.9983369,0.0001219753,0.0002282709,0.0006030186,0.0006189467,0.00009089198],"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":[0.002475278,0.0002626428,0.218282,0.00007486359,0.0003776433,7.519029e-7,0.0006693496,0.00000695473,0.6988231,0.00006786103,0.008684544,0.07027498],"study_design_scores_gemma":[0.0008640499,0.0001119803,0.6245051,0.00009263356,0.00009420629,0.00001822808,0.0001145617,0.00002145931,0.3732788,0.00007967117,0.0007319083,0.00008741017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684721,0.01776149,0.0002942315,0.007362919,0.0002346391,0.002260783,0.003130688,0.00002169198,0.0004614371],"genre_scores_gemma":[0.9928989,0.004877428,0.0001288729,0.00005275544,0.0003258075,0.00123304,0.00006934649,0.00002990295,0.0003839899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4062231,"threshold_uncertainty_score":0.4197285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04820636367303992,"score_gpt":0.3441455605400398,"score_spread":0.2959391968669999,"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."}}