Bibliographic record
Abstract
No AccessJournal of UrologyAdult Urology1 Nov 2021Editorial CommentThis article comments on the following:The Association between Income Status and Treatment Selection for Prostate Cancer in a Universal Health Care System: A Population-Based Analysis Christopher J. D. Wallis, and Zachary Klaassen Christopher J. D. WallisChristopher J. D. Wallis Vanderbilt University Medical Center, Nashville, Tennessee University of Toronto, Toronto, Ontario, Canada More articles by this author , and Zachary KlaassenZachary Klaassen Medical College of Georgia, Augusta, Georgia More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000001942.01AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Editorial Comment." The Journal of Urology, 206(5), p. 1211 References 1. : Survival and complications following surgery and radiation for localized prostate cancer: an international collaborative review. Eur Urol 2018; 73: 11. Google Scholar 2. : Disparities in refusal of locoregional treatment for prostate adenocarcinoma. JCO Oncol Pract 2021; doi: 10.1200/OP.20.00839. Crossref, Google Scholar 3. : The effect of selection and referral biases for the treatment of localised prostate cancer with surgery or radiation. Br J Cancer 2018; 118: 1399. Google Scholar © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited ByGrosso A, Di Maida F, Mari A and Minervini A (2022) The Association between Income Status and Treatment Selection for Prostate Cancer in a Universal Health Care System: A Population-Based Analysis. Letter.Journal of Urology, VOL. 207, NO. 4, (937-938), Online publication date: 1-Apr-2022.Related articlesJournal of UrologyJun 28, 2021, 12:00:00 AMThe Association between Income Status and Treatment Selection for Prostate Cancer in a Universal Health Care System: A Population-Based Analysis Volume 206Issue 5November 2021Page: 1211-1211 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Christopher J. D. Wallis Vanderbilt University Medical Center, Nashville, Tennessee University of Toronto, Toronto, Ontario, Canada More articles by this author Zachary Klaassen Medical College of Georgia, Augusta, Georgia 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 | 0.005 | 0.058 |
| 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 | 0.007 | 0.005 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.012 | 0.009 |
| Insufficient payload (model declined to judge) | 0.392 | 0.224 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".