Bibliographic record
Abstract
No AccessJournal of UrologyEditorial1 Jun 2011Assessing Surgical Outcomes in Pediatric Urology Luis H. Braga Luis H. BragaLuis H. Braga More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2011.03.059AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Assessing Surgical Outcomes in Pediatric Urology." The Journal of Urology, 185(6), pp. 2021–2022 References 1 : Database research: is happiness a humongous database?. Ann Intern Med1997; 127: 725. Google Scholar 2 : Administrative databases and outcomes assessment: an overview of issues and potential utility. J Managed Care Pharm1999; 5: 215. Google Scholar 3 : Compliance with antibiotic prophylaxis in children with vesicoureteral reflux: results from a national pharmacy claims database. J Urol2010; 183: 1994. Link, Google Scholar 4 : Ketorolac is underutilized after ureteral reimplantation despite reduced hospital cost and reduced length of stay. Urology2010; 76: 9. Google Scholar 5 : A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol2005; 58: 323. Google Scholar 6 : When to base clinical policies on observational versus randomized trial data. Ann Intern Med1997; 127: 697. Google Scholar 7 : 250 Consecutive unilateral extravesical ureteral reimplantations in an outpatient setting. J Urol2010; 184: 311. Link, Google Scholar 8 : Ureteroneocystostomy without urethral catheterization shortens hospital stay without compromising postoperative success. J Urol2003; 170: 1570. Link, Google Scholar 9 : Early hospital discharge for intravesical ureteroneocystostomy. J Urol2002; 167: 2556. Link, Google Scholar Department of Surgery/Urology, McMaster University, Hamilton, Ontario, Canada© 2011 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited byLorenzo A, Pippi Salle J, Zlateska B, Koyle M, Bägli D and Braga L (2014) Decisional Regret after Distal Hypospadias Repair: Single Institution Prospective Analysis of Factors Associated with Subsequent Parental Remorse or DistressJournal of Urology, VOL. 191, NO. 5S, (1558-1563), Online publication date: 1-May-2014. Volume 185Issue 6June 2011Page: 2021-2022 Advertisement Copyright & Permissions© 2011 by American Urological Association Education and Research, Inc.MetricsAuthor Information Luis H. Braga 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 | 0.003 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".