Bibliographic record
Abstract
No AccessJournal of UrologyAdult Urology1 Sep 2021Editorial CommentThis article comments on the following:Cardiovascular Events in Men with Prostate Cancer Receiving Hormone Therapy: An Analysis of the FDA Adverse Event Reporting System (FAERS) Jehonathan H. Pinthus, and Harkanwal Randhawa Jehonathan H. PinthusJehonathan H. Pinthus Department of Surgery, Division of Urology, McMaster University, Hamilton, Ontario, Canada More articles by this author , and Harkanwal RandhawaHarkanwal Randhawa Department of Surgery, Division of Urology, McMaster University, Hamilton, Ontario, Canada More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000001785.02AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Editorial Comment." The Journal of Urology, 206(3), pp. 621–622 References 1. : Temporal trends in cause of death among Swedish and US men with prostate cancer. J Natl Cancer Inst 2012; 104: 1335. Google Scholar 2. : The cardiovascular effects of GnRH antagonists in men with prostate cancer. Eur Heart J Cardiovasc Pharmacother 2021; doi: 10.1093/ehjcvp/pvab005. Crossref, Google Scholar © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsRelated articlesJournal of UrologyApr 19, 2021, 12:00:00 AMCardiovascular Events in Men with Prostate Cancer Receiving Hormone Therapy: An Analysis of the FDA Adverse Event Reporting System (FAERS) Volume 206Issue 3September 2021Page: 621-622 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jehonathan H. Pinthus Department of Surgery, Division of Urology, McMaster University, Hamilton, Ontario, Canada More articles by this author Harkanwal Randhawa Department of Surgery, Division of Urology, McMaster University, Hamilton, Ontario, Canada 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 | 0.051 |
| 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) | 0.445 | 0.272 |
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".