High Risk Populations and Cystectomy Outcomes
Bibliographic record
Abstract
No AccessJournal of UrologyEditorial1 Jul 2009High Risk Populations and Cystectomy Outcomesis companion ofA Population Based Assessment of Perioperative Mortality After Cystectomy for Bladder CancerAssociations Between Comorbidity, and Overall Survival and Bladder Cancer Specific Survival After Radical Cystectomy: Results From the Alberta Urology Institute Radical Cystectomy Database Robert S. Svatek, Elenir B.C. Avritscher, Linda Elting, and Colin P. Dinney Robert S. SvatekRobert S. Svatek More articles by this author , Elenir B.C. AvritscherElenir B.C. Avritscher More articles by this author , Linda EltingLinda Elting More articles by this author , and Colin P. DinneyColin P. Dinney More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2009.04.058AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "High Risk Populations and Cystectomy Outcomes." The Journal of Urology, 182(1), pp. 10–11 References 1 : A critical analysis of perioperative mortality from radical cystectomy. J Urol2006; 175: 886. Link, Google Scholar Department of Urology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas© 2009 by American Urological AssociationFiguresReferencesRelatedDetailsRelated articlesJournal of Urology18 May 2009A Population Based Assessment of Perioperative Mortality After Cystectomy for Bladder CancerJournal of Urology18 May 2009Associations Between Comorbidity, and Overall Survival and Bladder Cancer Specific Survival After Radical Cystectomy: Results From the Alberta Urology Institute Radical Cystectomy Database Volume 182Issue 1July 2009Page: 10-11 Advertisement Copyright & Permissions© 2009 by American Urological AssociationMetricsAuthor Information Robert S. Svatek More articles by this author Elenir B.C. Avritscher More articles by this author Linda Elting More articles by this author Colin P. Dinney 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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".