MétaCan
Menu
← Back to cohort
Record W4401262036 · doi:10.1097/ju.0000000000004177

Editorial Comment

2024· editorial· es· W4401262036 on OpenAlexaffabout
Joana Dos Santos, Mandy Rickard, Armando J. Lorenzo

Bibliographic record

VenueThe Journal of Urology · 2024
Typeeditorial
Languagees
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineGeneral surgery

Abstract

fetched live from OpenAlex

No AccessJournal of UrologyEditorial Comment2 Aug 2024Editorial CommentThis article comments on the following:Preoperative Oxybutynin Reduces Postoperative Opioid Use Following Common Pediatric Urology Surgeriesis companion ofEditorial Comment Joana Dos Santos, Mandy Rickard, and Armando J. Lorenzo Joana Dos SantosJoana Dos Santos Division of Urology, Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada , Mandy RickardMandy Rickard Division of Urology, Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada , and Armando J. LorenzoArmando J. Lorenzo Division of Urology, Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada Assistant Editor, The Journal of Urology View All Author Informationhttps://doi.org/10.1097/JU.0000000000004177AboutFull TextPDF Cite Export CitationSelect Citation formatNLMAMAIEEEACMAPAChicagoMLAHarvardTips on citation downloadDownload citationCopy citation ToolsAdd to favoritesTrack Citations ShareFacebookLinked InTwitterEmail "Editorial Comment." The Journal of Urology, Publish Ahead of Print, pp. REFERENCES 1. The Lancet. Managing the opioid crisis in North America and beyond. Lancet.2022; 399(10324):495. doi: 10.1016/S0140-6736(22)00200-8 Crossref, Medline, Google Scholar 2. . Identifying the changing age distribution of opioid-related mortality with high-frequency data. PLoS One.2022; 17(4):e0265509. doi: 10.1371/journal.pone.0265509 Crossref, Medline, Google Scholar 3. . Detection of vaping, cannabis use, and hazardous prescription opioid use among adolescents. Lancet Child Adolesc Health.2022; 6(11):820-828. doi: 10.1016/S2352-4642(22)00212-7 Crossref, Medline, Google Scholar 4. . Preoperative oxybutynin reduces postoperative opioid use following common pediatric urology surgeries. J Urol.2024; 212(5):000-000. doi: 10.1097/JU.0000000000004162 Link, Google Scholar © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsRelated articlesJournal of Urology31 Jul 2024Preoperative Oxybutynin Reduces Postoperative Opioid Use Following Common Pediatric Urology SurgeriesJournal of Urology2 Aug 2024Editorial Comment Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Joana Dos Santos Division of Urology, Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada More articles by this author Mandy Rickard Division of Urology, Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada More articles by this author Armando J. Lorenzo Division of Urology, Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada Assistant Editor, The Journal of Urology 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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.065
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.439
Threshold uncertainty score0.800

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.065
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0030.002
Scholarly communication0.0080.005
Open science0.0040.003
Research integrity0.0130.010
Insufficient payload (model declined to judge)0.4390.276

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.

Opus teacher head0.008
GPT teacher head0.289
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Urology→Same topicOpioid Use Disorder Treatment→French-language works237,207→