{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008740849,0.00074548,0.0007897652,0.004944808,0.00029166,0.0007128756,0.00127757,0.0006651148,0.007994315],"category_scores_gemma":[0.002255368,0.0001910059,0.0009465993,0.003377651,0.0005603678,0.0008294758,0.0005856365,0.001087122,0.003239433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363335,"about_ca_system_score_gemma":0.002308683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008621199,"about_ca_topic_score_gemma":0.01150939,"domain_scores_codex":[0.9996325,0.00008226814,0.00006523294,0.00003710475,0.0001499317,0.00003302233],"domain_scores_gemma":[0.9992768,0.0001653751,0.000125405,0.00002993096,0.0003634898,0.0000390459],"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":[0.00006699435,0.00001795895,0.00245943,0.008093693,0.0001261781,0.0001591495,0.00008630547,0.0004274317,0.0004564727,0.004028327,0.2401812,0.7438969],"study_design_scores_gemma":[0.00001852836,0.00003849408,0.004583067,0.005639909,0.0001285321,0.001713127,0.00007417239,0.0001551631,0.0001588998,0.001702062,0.98577,0.00001801123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007715363,0.9729301,0.001702556,0.004217019,0.002297811,0.0001957292,0.002467769,0.0001230192,0.01529446],"genre_scores_gemma":[0.01050796,0.9675463,0.00618178,0.001819151,0.001027224,0.0001949039,0.00603367,0.00005436481,0.006634657],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008621199,"threshold_uncertainty_score":0.02674365,"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."}}