{"id":"W2947683972","doi":"10.1148/radiol.2019190088","title":"2018 FIGO Staging System for Uterine Cervical Cancer: Enter Cross-sectional Imaging","year":2019,"lang":"en","type":"review","venue":"Radiology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"ECOG-ACRIN Cancer Research Group; American College of Radiology Imaging Network","keywords":"Medicine; Radiology; Stage (stratigraphy); Cervical cancer; Pelvis; Abdomen; Radiography; Medical imaging; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002265721,0.0004687744,0.002440203,0.000276394,0.00009136295,0.0000347266,0.0002186949,0.0003612546,0.0007263643],"category_scores_gemma":[0.00005388974,0.0003326681,0.000908092,0.0002158967,0.00008926787,0.00005078391,0.00009958487,0.0003695309,0.0002145196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419408,"about_ca_system_score_gemma":0.0003814746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001313537,"about_ca_topic_score_gemma":0.000003752206,"domain_scores_codex":[0.9975364,0.0001177191,0.0008107338,0.0007687388,0.0001960338,0.0005703726],"domain_scores_gemma":[0.9984999,0.0004534372,0.0003304575,0.000412785,0.0001123218,0.0001910657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005389467,0.0001122981,0.04317166,0.1020805,0.001827748,0.0001260134,0.00001312518,0.000002434356,0.000002867681,0.0002406757,0.002465863,0.8494179],"study_design_scores_gemma":[0.003157286,0.0002209884,0.002126161,0.003678386,0.001053596,0.00105123,0.000003187588,0.00002766241,0.000001539762,0.000008465147,0.9884024,0.0002691083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001087017,0.990768,0.0002557152,0.00009023518,0.005230824,0.001696343,0.0009753632,0.000109473,0.0007653928],"genre_scores_gemma":[0.0004786186,0.9895404,0.0002133524,0.0002558109,0.003850279,0.001059784,0.00103203,0.00009845487,0.003471284],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9859365,"threshold_uncertainty_score":0.9999126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08812247500215657,"score_gpt":0.4245089303795214,"score_spread":0.3363864553773648,"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."}}