{"id":"W2143941607","doi":"10.1148/radiol.2452061983","title":"Early Invasive Cervical Cancer: CT and MR Imaging in Preoperative Evaluation—ACRIN/GOG Comparative Study of Diagnostic Performance and Interobserver Variability","year":2007,"lang":"en","type":"article","venue":"Radiology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Cancer Institute","keywords":"Medicine; Parametrial; Magnetic resonance imaging; Cervical cancer; Radiology; Institutional review board; Stage (stratigraphy); Receiver operating characteristic; Biopsy; Neuroradiology; Nuclear medicine; Cancer; Cervical carcinoma; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007921957,0.0001404912,0.0005115882,0.0001178902,0.00003962732,0.000005255889,0.00004981359,0.00002956357,0.00009796074],"category_scores_gemma":[0.0006681239,0.0001072404,0.000021362,0.0002384496,0.0001695159,0.00009214201,0.0000648093,0.0001713891,0.000001322465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950452,"about_ca_system_score_gemma":0.00008370502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172296,"about_ca_topic_score_gemma":0.001675805,"domain_scores_codex":[0.998617,0.0003246057,0.000365591,0.0003361712,0.0001547268,0.0002019372],"domain_scores_gemma":[0.9975934,0.001933902,0.00008361723,0.0001378936,0.0001552523,0.00009591461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006904713,0.0004323263,0.9855415,0.0000604566,0.00009915758,0.00003145125,0.006985292,0.00003990762,0.0001430815,0.00002275714,0.000006718926,0.005946913],"study_design_scores_gemma":[0.007550122,0.001730079,0.9874545,0.00008030324,0.0001672658,0.0000487659,0.001673017,0.0005521499,0.0005699233,0.00008475121,0.000004949398,0.00008411134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970906,0.001104397,0.00001333112,0.000110347,0.0001026174,0.001227131,0.000007466623,0.000007996084,0.000336157],"genre_scores_gemma":[0.9994465,0.0002044334,0.00006014313,0.0000906677,0.00005150611,0.0001227551,0.000007356969,0.000005994606,0.00001068265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006859651,"threshold_uncertainty_score":0.4373138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0468053094427052,"score_gpt":0.3530756979818916,"score_spread":0.3062703885391864,"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."}}