{"id":"W3193341898","doi":"10.1016/j.jss.2021.07.001","title":"Prediction of Local Recurrence After Oncoplastic Breast Surgery: Analysis of a Large Cohort","year":2021,"lang":"en","type":"article","venue":"Journal of Surgical Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Breast cancer; Oncoplastic Surgery; Hazard ratio; Pathological; Multivariate analysis; Stage (stratigraphy); Chemotherapy; Surgery; Cohort; Internal medicine; Neoadjuvant therapy; Radiation therapy; Proportional hazards model; Breast surgery; Oncology; Cancer; Confidence interval","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":[0.0008208957,0.0003769964,0.0005804437,0.0009296374,0.0009419592,0.0008285606,0.0006178545,0.0005648981,0.001561457],"category_scores_gemma":[0.002132423,0.000521832,0.0006999913,0.001253441,0.0005272766,0.0005759334,0.0006822236,0.0007357498,0.0003177144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351849,"about_ca_system_score_gemma":0.0005514527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006548329,"about_ca_topic_score_gemma":0.007033239,"domain_scores_codex":[0.9992705,0.0002273495,0.000057818,0.0002289406,0.00009717494,0.0001182951],"domain_scores_gemma":[0.9983546,0.0004474941,0.0004613184,0.0002977456,0.0001527506,0.0002861634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003254561,0.00007602578,0.9979165,0.000004543252,0.00008982424,0.0000992708,0.00009402438,0.00002791772,0.0004923897,0.00001175786,0.00007099553,0.0007912985],"study_design_scores_gemma":[0.00001757669,0.0001181786,0.9989919,0.000002175434,0.00005204861,0.0002545185,0.000210161,0.0001266193,0.00007011812,0.0000137535,0.0001383501,0.000004613783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995834,0.00009164979,0.00005943745,0.00001516231,0.000002674873,0.000004629989,0.0001433061,0.000001411375,0.00009845122],"genre_scores_gemma":[0.9991679,0.0001002822,0.00006710512,0.00002002368,0.00001121998,0.00001104066,0.0004204257,0.000004235957,0.0001978767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006548329,"threshold_uncertainty_score":0.0130204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03812348992903253,"score_gpt":0.3533237559388752,"score_spread":0.3152002660098426,"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."}}