{"id":"W1981680003","doi":"10.1016/j.ijrobp.2008.09.010","title":"Magnetic Resonance Imaging-Guided Intracavitary Brachytherapy for Cancer of the Cervix","year":2008,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Brachytherapy; Magnetic resonance imaging; Rectum; Nuclear medicine; Cervical cancer; Cervix; Radiation therapy; Radiation treatment planning; Radiology; Stage (stratigraphy); Cancer; Surgery; 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":[0.000167772,0.0002477792,0.0005182298,0.0005517575,0.0003930031,0.0003327638,0.0004922987,0.0006012479,0.001482514],"category_scores_gemma":[0.0008720903,0.0002623074,0.0003152923,0.0003887215,0.0003846975,0.0002679336,0.0002071078,0.0006515445,0.0004099344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172377,"about_ca_system_score_gemma":0.0006996255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007053145,"about_ca_topic_score_gemma":0.0112746,"domain_scores_codex":[0.9998988,0.00002035357,0.000006481391,0.00002289789,0.00002735707,0.00002405329],"domain_scores_gemma":[0.9998741,0.0000515182,0.00002675448,0.00002098189,0.00001384192,0.00001281894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006237868,0.0005998535,0.0102002,0.001039358,0.0002588308,0.004273176,0.0007499739,0.008162167,0.7799377,0.000784009,0.004639692,0.1831172],"study_design_scores_gemma":[0.003570636,0.01370149,0.2037322,0.0005758915,0.002735931,0.03986108,0.0009339221,0.04034657,0.6329696,0.001142678,0.06010475,0.0003252853],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313906,0.0186943,0.02353593,0.001707754,0.0003534524,0.0002918279,0.0003073558,0.0005941662,0.02312453],"genre_scores_gemma":[0.9833136,0.002577646,0.01062519,0.0003261818,0.00007971245,0.00005713942,0.00008693017,0.0001600007,0.00277353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007053145,"threshold_uncertainty_score":0.01402414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130718392103174,"score_gpt":0.3524562828349915,"score_spread":0.3211490989139597,"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."}}