Bibliographic record
Abstract
No AccessJournal of UrologyEditorial1 Jun 2014Bladder Tumor Resection: Doing it Right Peter Black Peter BlackPeter Black More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2014.03.083AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Bladder Tumor Resection: Doing it Right." The Journal of Urology, 191(6), pp. 1646–1647 References 1 : The value of a second transurethral resection in evaluating patients with bladder tumors. J Urol1999; 162: 74. Link, Google Scholar 2 : A single immediate postoperative instillation of chemotherapy decreases the risk of recurrence in patients with stage Ta T1 bladder cancer: a meta-analysis of published results of randomized clinical trials. J Urol2004; 171: 2186. Link, Google Scholar 3 : The importance of transurethral resection of bladder tumor in the management of nonmuscle invasive bladder cancer: a systematic review of novel technologies. J Urol2014; 191: 1655. Link, Google Scholar 4 : Monopolar versus bipolar transurethral resection of bladder tumors: a single center, parallel arm, randomized, controlled trial. J Urol2014; 191: 1703. Link, Google Scholar 5 : Hexyl aminolevulinate-guided fluorescence cystoscopy in the diagnosis and follow-up of patients with non-muscle-invasive bladder cancer: a critical review of the current literature. Eur Urol2013; 64: 624. Google Scholar 6 : Narrow band imaging cystoscopy and bipolar plasma vaporization for large nonmuscle-invasive bladder tumors–results of a prospective, randomized comparison to the standard approach. Urology2012; 79: 846. Google Scholar 7 : A comparison of hexaminolevulinate fluorescence cystoscopy and white light cystoscopy for the detection of carcinoma in situ in patients with bladder cancer: a phase III, multicenter study. J Urol2007; 178: 68. Link, Google Scholar 8 : Electromotive instillation of mitomycin immediately before transurethral resection for patients with primary urothelial non-muscle invasive bladder cancer: a randomised controlled trial. Lancet Oncol2011; 12: 871. Google Scholar 9 : Population based trends in the surgical treatment of benign prostatic hyperplasia. J Urol2012; 188: 1837. Link, Google Scholar 10 : Current clinical practice gaps in the treatment of intermediate- and high-risk non-muscle-invasive bladder cancer (NMIBC) with emphasis on the use of bacillus Calmette-Guérin (BCG): results of an international individual patient data survey (IPDS). BJU Int2013; 112: 742. Google Scholar 11 : Maintenance bacillus Calmette-Guérin treatment of non-muscle-invasive bladder cancer: a critical evaluation of the evidence. Eur Urol2013; 64: 579. Google Scholar © 2014 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 191Issue 6June 2014Page: 1646-1647 Advertisement Copyright & Permissions© 2014 by American Urological Association Education and Research, Inc.MetricsAuthor Information Peter Black 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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.163 | 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".