{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006220684,0.0003486656,0.000411105,0.001758923,0.0002918291,0.0007544905,0.0002921442,0.0004344781,0.00143887],"category_scores_gemma":[0.001436858,0.00008112484,0.0002802617,0.001344429,0.0003940486,0.0004289401,0.0003890488,0.0003970073,0.0006075696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004514903,"about_ca_system_score_gemma":0.0003814208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170897,"about_ca_topic_score_gemma":0.001878934,"domain_scores_codex":[0.9996297,0.00008308364,0.00003497653,0.0001286964,0.00007279454,0.00005057838],"domain_scores_gemma":[0.9991927,0.0002211704,0.0002861565,0.00007658342,0.0001369918,0.00008652685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007732717,0.0002151058,0.8329458,0.0002139566,0.0002098403,0.0001120124,0.0001448895,0.00195999,0.07828994,0.0006255141,0.002837262,0.08167239],"study_design_scores_gemma":[0.00002315978,0.0002727812,0.9659871,0.00004179201,0.0001413088,0.0007364504,0.0001668495,0.01710836,0.009338229,0.001490267,0.004658055,0.00003564842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9779654,0.001398739,0.0134966,0.0006630339,0.00005792727,0.00006153883,0.003710423,0.0001857541,0.002460593],"genre_scores_gemma":[0.9846119,0.0002844662,0.01078608,0.0001223223,0.00005341772,0.00005504892,0.003641304,0.00002144526,0.0004240228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001758923,"threshold_uncertainty_score":0.004813433,"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."}}