{"id":"W3008823467","doi":"10.1177/0846537119899553","title":"Phyllodes Tumors—The Predictors and Detection of Recurrence","year":2020,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Ottawa","funders":"","keywords":"Medicine; Phyllodes tumor; Surgical margin; Margin (machine learning); Pathological; Resection margin; Radiology; Retrospective cohort study; Breast-conserving surgery; Surgical excision; Surgery; Resection; Mastectomy; Breast cancer; Pathology; Cancer; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004104379,0.00005597324,0.0001804222,0.00006815394,0.00008663625,0.000008801863,0.00006020222,0.00007267834,0.00002557436],"category_scores_gemma":[0.0007309128,0.00004014094,0.00005893185,0.0001491146,0.00007439984,0.0000391236,0.000004514894,0.0002367968,9.577738e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299896,"about_ca_system_score_gemma":0.0003318188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009627978,"about_ca_topic_score_gemma":0.001430054,"domain_scores_codex":[0.9993379,0.0000876924,0.0002290725,0.00007271434,0.0001406014,0.000132053],"domain_scores_gemma":[0.9991006,0.0000703012,0.0003121007,0.00005554346,0.000175339,0.0002860859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007256174,0.0000143141,0.958858,0.00005110882,0.0001340426,0.00003051826,0.00125967,0.00001710982,0.009365421,0.0001489082,0.004515464,0.02553292],"study_design_scores_gemma":[0.0004243809,0.0002542707,0.994248,0.00003889464,0.00005167184,0.0002919353,0.0002512624,0.0002268996,0.0007185376,0.00005228692,0.003401503,0.00004033916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913946,0.0006312468,0.0002062698,0.007220793,0.0001060706,0.00008628134,0.00002425932,0.000004930037,0.0003255324],"genre_scores_gemma":[0.9991829,0.00018847,0.00007366965,0.0003126549,0.0001804269,0.000001073876,0.000002322324,0.000004157788,0.00005432369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03539005,"threshold_uncertainty_score":0.16369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576274661407768,"score_gpt":0.2212288444673575,"score_spread":0.2054660978532799,"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."}}