Re: Multilocular Cystic Renal Cell Carcinoma: Pathological T Staging Makes No Difference to Favorable Outcomes and Should be Reclassified
Bibliographic record
Abstract
No AccessJournal of UrologyLetter to the Editor/Errata1 May 2017Re: Multilocular Cystic Renal Cell Carcinoma: Pathological T Staging Makes No Difference to Favorable Outcomes and Should be ReclassifiedJ. R. Bhatt, M. A. Jewett, P. O. Richard, S. Kawaguchi, N. Timilshina, A. Evans, S. Alibhai and A. Finelli J Urol 2016; 196: 1350–1355. Ronda J. Sanders and Oleksandr N. Kryvenko Ronda J. SandersRonda J. Sanders More articles by this author and Oleksandr N. KryvenkoOleksandr N. Kryvenko More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.12.088AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Re: Multilocular Cystic Renal Cell Carcinoma: Pathological T Staging Makes No Difference to Favorable Outcomes and Should be Reclassified." The Journal of Urology, 197(5), pp. 1358–1359 References 1 : Multilocular cystic renal neoplasm of low malignant potential. In: World Health Organization Classification of Tumours of the Urinary System and Male Genital Organs, 4th ed. Edited by . Lyon: IARC Press2016: 22. Google Scholar 2 : Multilocular cystic renal cell carcinoma: a report of 45 cases of a kidney tumor of low malignant potential. Am J Clin Pathol2006; 125: 217. Google Scholar 3 : The International Society of Urological Pathology (ISUP) Vancouver Classification of Renal Neoplasia. Am J Surg Pathol2013; 37: 1469. Google Scholar 4 : Low-grade clear cell renal cell carcinoma mimicking hemangioma of the kidney: a series of 4 cases. Arch Pathol Lab Med2013; 137: 251. Google Scholar 5 : Cystic partially regressed clear cell renal cell carcinoma: a potential mimic of multilocular cystic renal cell carcinoma. Histopathology2013; 63: 767. Google Scholar 6 : Atypical renal cysts: a morphologic, immunohistochemical, and molecular study. Am J Surg Pathol2016; 40: 202. Google Scholar 7 : Diagnostic approach to eosinophilic renal neoplasms. Arch Pathol Lab Med2014; 138: 1531. Google Scholar © 2017 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 197Issue 5May 2017Page: 1358-1359 Advertisement Copyright & Permissions© 2017 by American Urological Association Education and Research, Inc.MetricsAuthor Information Ronda J. Sanders More articles by this author Oleksandr N. Kryvenko More articles by this author Expand All Advertisement PDF downloadLoading ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.063 | 0.060 |
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 source (direct Gemma or distilled Codex), 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".