{"id":"W2076669363","doi":"10.1038/modpathol.2013.153","title":"Distinguishing luminal breast cancer subtypes by Ki67, progesterone receptor or TP53 status provides prognostic information","year":2013,"lang":"en","type":"article","venue":"Modern Pathology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University Health Network","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Progesterone receptor; Internal medicine; Proportional hazards model; Breast cancer; Oncology; Medicine; Estrogen receptor; Univariate analysis; Lymph node; Multivariate analysis; Cancer; Pathology","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":[0.00007089398,0.0002477857,0.0002209364,0.00003753951,0.0001405029,0.00006840964,0.0001415806,0.0001569085,0.00008025127],"category_scores_gemma":[0.0001422322,0.0001942119,0.00004375951,0.00006593885,0.0001599844,0.00004282039,0.0001493581,0.0001014793,0.00006085745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000718572,"about_ca_system_score_gemma":0.0001250095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005724166,"about_ca_topic_score_gemma":0.0002463401,"domain_scores_codex":[0.9986721,0.00006941057,0.0002703464,0.0003642151,0.0001290638,0.0004949131],"domain_scores_gemma":[0.9992506,0.00002171099,0.0001673234,0.0002490961,0.0002119207,0.00009933354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007797321,0.0003752283,0.6634875,0.0002532967,0.0002717584,0.00001587165,0.002480787,0.00004892674,0.1265412,0.00001704738,0.02795793,0.1777707],"study_design_scores_gemma":[0.004566997,0.001373706,0.9127044,0.0002263932,0.0003019579,0.0007388253,0.0010709,0.0007603775,0.03032794,0.0003031385,0.04600287,0.001622503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950813,0.001014041,0.000955052,0.001243236,0.0002696905,0.0006606078,0.0005541554,0.00005683464,0.0001650627],"genre_scores_gemma":[0.9961162,0.000182656,0.0009895704,0.000397721,0.0002177139,0.001014226,0.0007273342,0.00002885839,0.0003257498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2492169,"threshold_uncertainty_score":0.7919729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007265989504933791,"score_gpt":0.2348529167452362,"score_spread":0.2275869272403024,"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."}}