{"id":"W2620853117","doi":"10.1016/j.crad.2017.05.003","title":"CT imaging of solid renal masses: pitfalls and solutions","year":2017,"lang":"en","type":"review","venue":"Clinical Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Lesion; Radiology; Magnetic resonance imaging; Oncocytoma; Angiomyolipoma; Ultrasound; Nuclear medicine; Renal mass; Tomography; Homogeneous; Renal cell carcinoma; Kidney; Pathology; Nephrectomy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006818737,0.0003233625,0.002269637,0.0001064165,0.0001089976,0.00001373886,0.0004174064,0.0002070558,0.00002363591],"category_scores_gemma":[0.0007671311,0.0002843493,0.000459924,0.000053336,0.0006205237,0.000104538,0.0001533912,0.0008787162,0.0000324126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003395838,"about_ca_system_score_gemma":0.00009667216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001605547,"about_ca_topic_score_gemma":0.00000210355,"domain_scores_codex":[0.9977635,0.0001811471,0.001189014,0.0003783256,0.00005796387,0.0004300437],"domain_scores_gemma":[0.9976591,0.001201951,0.000359684,0.0006129912,0.00002833678,0.000137957],"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":[0.000001559023,0.00001464843,0.0001190702,0.00183411,0.000184063,0.00005003002,0.000006181765,0.00005215838,9.940164e-7,0.0004121033,0.001191898,0.9961332],"study_design_scores_gemma":[0.0001847686,0.00002714441,0.00004983434,0.002367598,0.0003646757,0.0004021403,0.000004921385,0.0005952125,3.072396e-7,0.0007650373,0.9949575,0.0002808236],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001489671,0.9893347,0.007929173,0.00002233153,0.001056099,0.0001997012,0.00005530929,0.0001033217,0.001284436],"genre_scores_gemma":[0.0003749138,0.997237,0.001632241,0.0000250096,0.000522289,0.00002600887,0.0000347005,0.00005577516,0.00009209055],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9958524,"threshold_uncertainty_score":0.9999608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1561761612032451,"score_gpt":0.4560460664172648,"score_spread":0.2998699052140196,"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."}}