{"id":"W4285076992","doi":"10.1148/radiol.212873","title":"Development and Validation of Multiparametric MRI–based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer","year":2022,"lang":"en","type":"article","venue":"Radiology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Sherbrooke; McGill University Health Centre; Montreal General Hospital","funders":"","keywords":"Medicine; Endometrial cancer; Radiology; Receiver operating characteristic; Nomogram; McNemar's test; Magnetic resonance imaging; Institutional review board; Cancer; Oncology; Internal medicine; Surgery","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":[0.006233164,0.001228771,0.0009381647,0.002063801,0.0003645897,0.001135706,0.001177571,0.0008248849,0.000751311],"category_scores_gemma":[0.01103752,0.0004461508,0.001384597,0.0005914713,0.0003053012,0.0004954382,0.0009360889,0.0009209227,0.0004137072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008683011,"about_ca_system_score_gemma":0.001112447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005670034,"about_ca_topic_score_gemma":0.004184171,"domain_scores_codex":[0.9987043,0.0006525188,0.0001063233,0.0002862346,0.0001424109,0.0001081615],"domain_scores_gemma":[0.9938859,0.00401579,0.0006451528,0.0003900639,0.0008574824,0.0002055949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001631154,0.0007609936,0.2236642,0.0001526689,0.0007752813,0.0002052476,0.0001607176,0.5939891,0.004573024,0.0005293515,0.001772545,0.1717858],"study_design_scores_gemma":[0.0000230983,0.0001779192,0.009824134,0.00001578269,0.00006536842,0.00006194763,0.00002062247,0.9884027,0.0009226482,0.000297671,0.0001727547,0.000015383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8235168,0.001170937,0.1698849,0.0005502227,0.00008932883,0.0003962157,0.001307312,0.001503043,0.001581096],"genre_scores_gemma":[0.9700833,0.0001171172,0.02849084,0.0000683087,0.00002730114,0.0001560723,0.0007839758,0.00002772557,0.0002453738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006233164,"threshold_uncertainty_score":0.03296453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05485734278350811,"score_gpt":0.3206146140481662,"score_spread":0.2657572712646581,"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."}}