{"id":"W2746522528","doi":"10.1200/jco.2016.34.15_suppl.1043","title":"Breast cancer histology and non-sentinel lymph node involvement following a positive sentinel lymph node biopsy: A multi-institutional cohort study.","year":2016,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; Princess Margaret Cancer Centre; Ottawa Hospital; University Health Network; University of Toronto","funders":"","keywords":"Medicine; Sentinel lymph node; Breast cancer; Axillary Lymph Node Dissection; Lymphovascular invasion; Sentinel node; Biopsy; Context (archaeology); Univariate analysis; Lymph node; Axilla; Histology; Radiology; Cancer; Pathology; Metastasis; Internal medicine; Multivariate analysis","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":[0.001007021,0.0003651342,0.0004506394,0.0007714193,0.00063521,0.0007492437,0.0005393711,0.0004233967,0.001827341],"category_scores_gemma":[0.001375466,0.0006408053,0.0006156177,0.00112273,0.0003447452,0.0005746679,0.0006196866,0.0006040116,0.0003750814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005269641,"about_ca_system_score_gemma":0.0005855539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005656994,"about_ca_topic_score_gemma":0.01070758,"domain_scores_codex":[0.9995148,0.0001100199,0.00005257436,0.0001232027,0.0001035835,0.00009585819],"domain_scores_gemma":[0.9987336,0.0002038182,0.0005493594,0.0001428991,0.00009668698,0.000273645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001797079,0.00006296847,0.999043,0.000004715327,0.00003761511,0.000123411,0.00004441393,0.00001673247,0.0001769999,0.00000491364,0.0000425642,0.0002629197],"study_design_scores_gemma":[0.0000350326,0.000318156,0.998347,0.000005382398,0.00005150904,0.0006153823,0.0002140252,0.0001686002,0.00008677329,0.00000814233,0.0001442492,0.000005736751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994996,0.00007563787,0.00003824819,0.00001194328,0.000003277072,0.00001610098,0.0002539727,0.000001678199,0.00009952562],"genre_scores_gemma":[0.9993873,0.00006108479,0.00006012381,0.00001768979,0.000007238817,0.00001628986,0.0003549937,0.000001426969,0.00009385857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005656994,"threshold_uncertainty_score":0.01124811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03871188174529023,"score_gpt":0.3783664108811587,"score_spread":0.3396545291358685,"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."}}