BENIGN MIXED EPITHELIAL STROMAL TUMOR OF THE KIDNEY OF POSSIBLE MÜLLERIAN ORIGIN
Bibliographic record
Abstract
No AccessJournal of UrologyCLINICAL UROLOGY: Case Reports1 Oct 2001BENIGN MIXED EPITHELIAL STROMAL TUMOR OF THE KIDNEY OF POSSIBLE MÜLLERIAN ORIGIN DARREN T. BEIKO, J. CURTIS NICKEL, ALEXANDER H. BOAG, and JOHN R. SRIGLEY DARREN T. BEIKODARREN T. BEIKO , J. CURTIS NICKELJ. CURTIS NICKEL , ALEXANDER H. BOAGALEXANDER H. BOAG , and JOHN R. SRIGLEYJOHN R. SRIGLEY View All Author Informationhttps://doi.org/10.1016/S0022-5347(05)65775-8AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "BENIGN MIXED EPITHELIAL STROMAL TUMOR OF THE KIDNEY OF POSSIBLE MÜLLERIAN ORIGIN." The Journal of Urology, 166(4), pp. 1381–1382 References 1 : Mixed epithelial and stromal tumor of the kidney. Am J Surg Path2000; 24: 958. Google Scholar 2 : Multilocular renal cyst (cystic nephroma) with mullerian-like stroma. Urology1994; 43: 549. Google Scholar 3 : Extensively cystic renal neoplasms: cystic nephroma, cystic partially differentiated nephroblastoma, multilocular cystic renal cell carcinoma, and cystic hamartoma of the renal pelvis. Semin Diagn Pathol1998; 15: 2. Google Scholar From the Departments of Urology and Pathology, Queen's University, Kingston and Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada© 2001 by American Urological Association, Inc.FiguresReferencesRelatedDetails Volume 166Issue 4October 2001Page: 1381-1382 Advertisement Copyright & Permissions© 2001 by American Urological Association, Inc.KeywordsneoplasmsabnormalitieshamartomaMetricsAuthor Information DARREN T. BEIKO More articles by this author J. CURTIS NICKEL More articles by this author ALEXANDER H. BOAG More articles by this author JOHN R. SRIGLEY More articles by this author Expand All Advertisement PDF downloadLoading ...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".