Bibliographic record
Abstract
No AccessJournal of UrologyAdult urology1 May 2007Editorial Comment Juanita Crook Juanita CrookJuanita Crook More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2007.01.201AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Editorial Comment." The Journal of Urology, 177(5), p. 1763 References 1 : Postradiotherapy prostate biopsies: what do they really mean? Results for 498 patients. Int J Radiat Oncol Biol Phys2000; 48: 355. Google Scholar 2 : Transient elevation of serum prostate-specific antigen following (125)I/(103)Pd brachytherapy for localized prostate cancer. Semin Urol Oncol2000; 18: 160. Google Scholar 3 : Prostate-specific antigen spikes after permanent prostate brachytherapy. Int J Radiat Oncol Biol Phys2002; 54: 450. Google Scholar 4 : Temporary PSA rises and repeat prostate biopsies after brachytherapy. Int J Radiat Oncol Biol Phys2001; 50: 1207. Google Scholar Department of Radiation Oncology, University of Toronto/Princess Margaret Hospital, Toronto, Ontario, Canada© 2007 by American Urological AssociationFiguresReferencesRelatedDetails Volume 177Issue 5May 2007Page: 1763 Advertisement Copyright & Permissions© 2007 by American Urological AssociationMetricsAuthor Information Juanita Crook 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 | 0.006 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.014 | 0.010 |
| Insufficient payload (model declined to judge) | 0.337 | 0.208 |
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".