{"id":"W2027587613","doi":"10.1016/j.ygyno.2009.12.017","title":"The accuracy of magnetic resonance imaging in staging of vulvar cancer: A retrospective multi-centre study","year":2010,"lang":"en","type":"article","venue":"Gynecologic Oncology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal General Hospital; McGill University Health Centre","funders":"NIHR Cambridge Biomedical Research Centre","keywords":"Medicine; Groin; Magnetic resonance imaging; Radiology; Vulvar cancer; Stage (stratigraphy); Metastasis; Lymph node; Retrospective cohort study; Cancer; Surgery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002158302,0.0003566629,0.0005389646,0.001250267,0.0005758203,0.001108083,0.0006541325,0.0008226717,0.0007483976],"category_scores_gemma":[0.009754243,0.0006729458,0.0007706268,0.001102772,0.0008949041,0.0008918518,0.0006240362,0.0004742696,0.0002555774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723985,"about_ca_system_score_gemma":0.0003242831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003685408,"about_ca_topic_score_gemma":0.004131048,"domain_scores_codex":[0.9976374,0.0009736309,0.0003279654,0.0004611123,0.0003494225,0.0002505143],"domain_scores_gemma":[0.9923614,0.003020211,0.002484924,0.000869212,0.0009107209,0.0003535115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001489334,0.00001537588,0.9988231,0.000006245418,0.00006197445,0.00008417713,0.00007371807,0.00003536593,0.0002262657,0.000006182808,0.00001370734,0.0005049217],"study_design_scores_gemma":[0.00001197737,0.0002053621,0.9982269,0.000007068149,0.0001088752,0.0007042037,0.000251553,0.0002248473,0.0001227272,0.00001067583,0.0001188327,0.000006872345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992158,0.0003934107,0.0000887067,0.00001987705,0.000005314003,0.000004099613,0.00005959134,0.000001640943,0.0002114769],"genre_scores_gemma":[0.9997553,0.00008435797,0.00004421359,0.00001013341,0.000007740268,0.000001968172,0.00006375742,0.000001914976,0.00003067008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003685408,"threshold_uncertainty_score":0.01141429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138509359257131,"score_gpt":0.3467167037108642,"score_spread":0.3253316101182929,"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."}}