{"id":"W2773240551","doi":"10.3174/ajnr.a5485","title":"Diagnostic Accuracy of Centrally Restricted Diffusion in the Differentiation of Treatment-Related Necrosis from Tumor Recurrence in High-Grade Gliomas","year":2017,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Parkinson Society Canada; Bayer HealthCare; Brain Tumour Foundation of Canada","keywords":"Medicine; Necrosis; Diffusion MRI; Bevacizumab; Effective diffusion coefficient; Radiation therapy; Lesion; Receiver operating characteristic; Nuclear medicine; Prospective cohort study; Radiology; Glioma; Magnetic resonance imaging; Chemotherapy; Pathology; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001242791,0.0002582429,0.000242341,0.0009121147,0.0001597175,0.000547983,0.0002905406,0.0005455634,0.0009260119],"category_scores_gemma":[0.004244115,0.0001722996,0.0002569925,0.0002545767,0.0004911616,0.0003929079,0.0003470595,0.0002277404,0.0002050902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602827,"about_ca_system_score_gemma":0.000272691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008425339,"about_ca_topic_score_gemma":0.001369033,"domain_scores_codex":[0.9996548,0.0001258435,0.00005860816,0.00005479787,0.00005746492,0.00004852239],"domain_scores_gemma":[0.997618,0.0007753737,0.0009455174,0.0001584425,0.0002694706,0.0002330498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009316999,0.00004246244,0.983093,0.00002948724,0.00004300589,0.0004590564,0.00005951896,0.0001877559,0.005898139,0.00001919249,0.000052336,0.009184203],"study_design_scores_gemma":[0.00004800349,0.0004657548,0.9804161,0.00003048536,0.00008601953,0.008212391,0.000193139,0.002510156,0.007735832,0.0001059796,0.0001759759,0.00001998758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991923,0.0002853715,0.0003038694,0.00001464715,0.000002347639,0.000005739807,0.00002062815,0.00000954975,0.0001656217],"genre_scores_gemma":[0.9997227,0.00003530807,0.0001956546,0.000003847606,0.000003079124,0.000002182389,0.00001968818,8.671842e-7,0.00001670052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001242791,"threshold_uncertainty_score":0.006572545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839958297145535,"score_gpt":0.2834181923804024,"score_spread":0.2650186094089471,"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."}}