{"id":"W2589585238","doi":"10.1200/jco.2016.34.7_suppl.263","title":"Establishing achievable benchmarks for quality improvement in systemic therapy for early-stage breast cancer.","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; Queen's University; University of Toronto; Institute for Clinical Evaluative Sciences; Health Sciences Centre; Credit Valley Hospital; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Decile; Systemic therapy; Breast cancer; Stage (stratigraphy); Benchmark (surveying); Quality management; Health care; Population; Cancer; Internal medicine; Operations management; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02870614,0.0003244708,0.0004408794,0.00293325,0.0008612268,0.002835455,0.001379179,0.0004154548,0.0008870076],"category_scores_gemma":[0.0634761,0.0001484402,0.0004208234,0.006150211,0.0008044472,0.001331191,0.00193498,0.00076454,0.0001644228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01510204,"about_ca_system_score_gemma":0.03029873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2010918,"about_ca_topic_score_gemma":0.2504743,"domain_scores_codex":[0.981955,0.006727943,0.002469163,0.0009512564,0.006441761,0.001455023],"domain_scores_gemma":[0.9481725,0.01422332,0.01652871,0.002381797,0.01607237,0.002621394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000111711,0.0000861453,0.9446012,0.0005625587,0.0001109126,0.0000230389,0.0006638256,0.004544552,0.0002983942,0.004000406,0.006510944,0.03848641],"study_design_scores_gemma":[0.00003014822,0.0002304685,0.9811637,0.0003781357,0.00004538825,0.00003599091,0.001073968,0.007228198,0.0007896546,0.002256303,0.006744895,0.00002308095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565562,0.008161352,0.05330096,0.01723134,0.0001517389,0.002108617,0.03245005,0.0004031711,0.02963651],"genre_scores_gemma":[0.9761913,0.0006086605,0.01599309,0.0003548124,0.00003189796,0.0003673061,0.006268347,0.00001482834,0.0001697574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2010918,"threshold_uncertainty_score":0.3998427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08308209218728892,"score_gpt":0.4580980536149824,"score_spread":0.3750159614276935,"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."}}