Will Radio Frequency Ablation Become “Routine First Line Answer” for Small Renal Masses?
Bibliographic record
Abstract
No AccessJournal of UrologyEditorial1 Apr 2012Will Radio Frequency Ablation Become “Routine First Line Answer” for Small Renal Masses? Joseph L. Chin Joseph L. ChinJoseph L. Chin More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2012.01.019AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Will Radio Frequency Ablation Become “Routine First Line Answer” for Small Renal Masses?." The Journal of Urology, 187(4), pp. 1153–1154 References 1 : The results of radical nephrectomy for renal cell carcinoma. J Urol1969; 101: 297. Link, Google Scholar 2 : Nephron sparing surgery for renal tumors: indications, techniques and outcomes. J Urol2001; 166: 6. Link, Google Scholar 3 : Active surveillance of small renal masses: progression patterns of early stage kidney cancer. Eur Urol2011; 60: 39. Google Scholar 4 : Percutaneous cryosurgery for renal tumours. Br J Urol1995; 75: 132. Google Scholar 5 : Radiofrequency interstitial tumor ablation (RITA) is a possible new modality for treatment of renal cancer: ex vivo and in vivo experience. J Endourol1997; 11: 251. Google Scholar 6 : Cryoablation or radiofrequency ablation of the small renal mass: a meta-analysis. Cancer2008; 113: 2671. Google Scholar 7 : Thermal ablation therapy for focal malignancy: a unified approach to underlying principles, techniques, and diagnostic imaging guidance. AJR Am J Roentgenol2000; 174: 323. Google Scholar 8 : Renal cryoablation: outcome at 3 years. J Urol2005; 173: 1903. Link, Google Scholar 9 : EAU guidelines on renal cell carcinoma: the 2010 update. Eur Urol2010; 58: 398. Google Scholar 10 : Guidelines for management of the clinical T1 renal mass. J Urol2009; 182: 1271. Link, Google Scholar Division of Urology, University of Western Ontario, London, Ontario, Canada© 2012 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 187Issue 4April 2012Page: 1153-1154 Advertisement Copyright & Permissions© 2012 by American Urological Association Education and Research, Inc.MetricsAuthor Information Joseph L. Chin More articles by this author Expand All Advertisement PDF downloadLoading ...
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.212 | 0.069 |
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".