{"id":"W2168507982","doi":"10.1634/theoncologist.2014-0372","title":"Defining Breast Cancer Intrinsic Subtypes by Quantitative Receptor Expression","year":2015,"lang":"en","type":"article","venue":"The Oncologist","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McMaster University; Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research; BC Cancer Agency; University of British Columbia","funders":"National Cancer Institute; Federación Española de Enfermedades Raras; Cancer Research UK; Breast Cancer Research Foundation","keywords":"Breast cancer; Expression (computer science); Cancer; Cancer research; Computational biology; Biology; Oncology; Medicine; Genetics; Computer science","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":[0.007314824,0.0004630433,0.001334017,0.0007602086,0.0002577576,0.000782045,0.0006227348,0.0003403563,0.001112486],"category_scores_gemma":[0.006230444,0.0002252176,0.00108143,0.0006808395,0.0004910291,0.0005086613,0.0008132159,0.0004479568,0.0002528515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004660222,"about_ca_system_score_gemma":0.0007517199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005467826,"about_ca_topic_score_gemma":0.001240417,"domain_scores_codex":[0.9958288,0.001667202,0.0006105771,0.0006693432,0.001007719,0.0002163506],"domain_scores_gemma":[0.9961117,0.001105695,0.001504804,0.0006636796,0.0004612381,0.000153001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01034096,0.0002627006,0.8628936,0.001362984,0.002012918,0.00009535696,0.0002139775,0.002042939,0.03069882,0.0005323349,0.0006975097,0.08884592],"study_design_scores_gemma":[0.001215142,0.004850469,0.9559438,0.0002753534,0.002560036,0.001931407,0.00024501,0.005107418,0.01768038,0.001674829,0.008463435,0.00005276232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732439,0.008531631,0.01229508,0.0001187255,0.00001992385,0.0005444633,0.002231562,0.00007483355,0.002939955],"genre_scores_gemma":[0.9899862,0.0005376599,0.006141549,0.0001467218,0.00002980533,0.0003420331,0.002517378,0.0000257515,0.0002728922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007314824,"threshold_uncertainty_score":0.03868496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440197533705295,"score_gpt":0.3159511142045415,"score_spread":0.2915491388674886,"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."}}