{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006082985,0.0001736598,0.000189195,0.000861473,0.0001991114,0.0004654752,0.0003368141,0.0002629391,0.001330713],"category_scores_gemma":[0.002873796,0.0001630104,0.0002818271,0.0007330718,0.000238723,0.0003563693,0.0003623322,0.000384575,0.0002611953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120895,"about_ca_system_score_gemma":0.0002907942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435373,"about_ca_topic_score_gemma":0.001368952,"domain_scores_codex":[0.9996674,0.00007588172,0.00005248349,0.00006229764,0.00008201243,0.00005997977],"domain_scores_gemma":[0.998157,0.0003295314,0.001094678,0.00006965082,0.0001632938,0.0001859017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000025197,0.00000450743,0.9987331,0.000003276284,0.000005884154,0.00006660562,0.000007395467,0.00002379976,0.00008364709,0.000003986232,0.00004034645,0.001002192],"study_design_scores_gemma":[0.000003515984,0.00005544267,0.9969998,0.00001295038,0.00002059749,0.002020069,0.0001089164,0.0003334055,0.0002317037,0.00002345464,0.0001875249,0.000002674093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989293,0.0005038558,0.0001217009,0.00004835631,0.000003735807,0.000004861931,0.0001311838,0.00000685858,0.0002500234],"genre_scores_gemma":[0.9996116,0.0001212604,0.00009217286,0.000008801166,0.000006224549,0.000002854776,0.0001174216,0.000001366978,0.00003833676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001435373,"threshold_uncertainty_score":0.004451632,"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."}}