Re: Cost-Effectiveness of Hydrophilic-Coated Intermittent Catheters Compared with Uncoated Catheters in Canada: A Public Payer Perspective
Bibliographic record
Abstract
No AccessJournal of UrologyUrological Survey1 Aug 2018Re: Cost-Effectiveness of Hydrophilic-Coated Intermittent Catheters Compared with Uncoated Catheters in Canada: A Public Payer Perspective Edward M. SchaefferMD, PhD Edward M. SchaefferEdward M. Schaeffer More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2018.05.028AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Re: Cost-Effectiveness of Hydrophilic-Coated Intermittent Catheters Compared with Uncoated Catheters in Canada: A Public Payer Perspective." The Journal of Urology, 200(2), pp. 225–226 References 1 : Intermittent catheterisation with hydrophilic-coated catheters (SpeediCath) reduces the risk of clinical urinary tract infection in spinal cord injured patients: a prospective randomised parallel comparative trial. Eur Urol2005; 48: 991. Google Scholar © 2018 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 200Issue 2August 2018Page: 225-226 Advertisement Copyright & Permissions© 2018 by American Urological Association Education and Research, Inc.MetricsAuthor Information Edward M. Schaeffer 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 | 0.004 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 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".