{"id":"W2139145948","doi":"10.1148/rg.321115045","title":"FIGO Staging System for Endometrial Cancer: Added Benefits of MR Imaging","year":2012,"lang":"en","type":"article","venue":"Radiographics","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Magnetic resonance imaging; Stage (stratigraphy); Endometrial cancer; Radiology; Lymph node; Malignancy; Cervical cancer; Parametrial; Cancer; Cervical carcinoma; Pathology; 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":[0.000397131,0.0001920122,0.0005715299,0.0007640274,0.00008838072,0.0000121312,0.0001010517,0.00007725663,0.00004498354],"category_scores_gemma":[0.0001710442,0.000157665,0.000410492,0.001716753,0.00005937348,0.0001254725,0.00002606064,0.0001200824,0.000001861822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000141653,"about_ca_system_score_gemma":0.00006315197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002795698,"about_ca_topic_score_gemma":0.000006495826,"domain_scores_codex":[0.99847,0.0000356069,0.0004058474,0.0002174335,0.0003826247,0.0004884998],"domain_scores_gemma":[0.9986745,0.0004176745,0.0001929821,0.0002574271,0.0001808725,0.0002766147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001669057,0.0003842553,0.9115441,0.001281441,0.0008460089,0.00000431721,0.0002944909,0.00001831958,0.001783599,0.004117218,0.0006215352,0.07743565],"study_design_scores_gemma":[0.1614487,0.003029431,0.4984164,0.005597473,0.01196371,0.0002566491,0.002944773,0.001310007,0.225473,0.0003517817,0.0866586,0.002549451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375189,0.0542007,0.0007068972,0.0004243248,0.003001524,0.001719514,0.0006678708,0.0001936115,0.001566635],"genre_scores_gemma":[0.9959602,0.0009921343,0.001183939,0.00009890249,0.001444733,0.0001766858,0.00006087173,0.00003774708,0.00004476527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4131277,"threshold_uncertainty_score":0.6429392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589144486614804,"score_gpt":0.3066745958671558,"score_spread":0.2707831510010078,"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."}}