{"id":"W1638065039","doi":"10.1158/1538-7445.sabcs14-s5-04","title":"Abstract S5-04: A large prospectively-designed study of the DCIS score: Predicting recurrence risk after local excision for ductal carcinoma in situ patients with and without irradiation","year":2015,"lang":"en","type":"article","venue":"Cancer Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Kingston General Hospital; Thunder Bay Regional Health Sciences Centre; Health Sciences Centre; London Health Sciences Centre; Health Sciences North; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Ductal carcinoma; Hazard ratio; Breast-conserving surgery; Internal medicine; Cohort; Population; Oncology; Breast cancer; Proportional hazards model; Radiation therapy; Urology; Mastectomy; Gynecology; Cancer; Confidence interval","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":[0.0009220805,0.000462574,0.0003804933,0.0005335024,0.000694147,0.0004608778,0.0005053197,0.0003992921,0.001965967],"category_scores_gemma":[0.001474703,0.0004398616,0.0005561434,0.0008938011,0.0004773981,0.0004661717,0.0004894415,0.000578966,0.0007523564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002708,"about_ca_system_score_gemma":0.0009297972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216792,"about_ca_topic_score_gemma":0.02059087,"domain_scores_codex":[0.9994808,0.0001697112,0.00005326619,0.0001305143,0.00009413889,0.00007158213],"domain_scores_gemma":[0.9987761,0.0001442578,0.0004070114,0.0001738114,0.0001332947,0.0003654993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001017861,0.0002468351,0.9973687,0.00001033704,0.00007079061,0.00005761447,0.0000838065,0.00002919537,0.0003051549,0.000007369407,0.0001502586,0.0006520328],"study_design_scores_gemma":[0.0001840607,0.001114056,0.9979028,0.000003660693,0.0000528959,0.0001493111,0.0001134095,0.0001038404,0.0001259803,0.000009182922,0.0002349749,0.000005895578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990779,0.00002880655,0.00004500972,0.00001251397,0.000002321705,0.00005507705,0.0006434218,0.000002240101,0.0001327475],"genre_scores_gemma":[0.997348,0.00003028869,0.000150677,0.00003674798,0.00001247308,0.00008566271,0.001986738,0.000002790744,0.0003465968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01216792,"threshold_uncertainty_score":0.02419418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03527532864524957,"score_gpt":0.3378560389082211,"score_spread":0.3025807102629716,"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."}}