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Reply by Authors

2020· letter· en· W4248731871 on OpenAlexaffabout
Elaine J. Redmond, Dylan Hoare, Keith Rourke

Bibliographic record

VenueThe Journal of Urology · 2020
Typeletter
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

No AccessJournal of UrologyAdult Urology1 Nov 2020Reply by Authorsis a reply to letterEditorial CommentEditorial Comment Elaine J. Redmond, Dylan T. Hoare, and Keith F. Rourke Elaine J. RedmondElaine J. Redmond Division of Urology, University of Alberta, Edmonton, Alberta, Canada More articles by this author , Dylan T. HoareDylan T. Hoare Division of Urology, University of Alberta, Edmonton, Alberta, Canada More articles by this author , and Keith F. RourkeKeith F. Rourke *Correspondence: Division of Urology, Department of Surgery, University of Alberta, 7th Floor, Kaye Edmonton Clinic, 11400 University Ave., Edmonton, Alberta T6G-1Z1 telephone: 780-407-5800; FAX: 780-441-2597; E-mail Address: [email protected] Division of Urology, University of Alberta, Edmonton, Alberta, Canada More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000001177.03AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Reply by Authors." The Journal of Urology, 204(5), p. 995 No direct or indirect commercial, personal, academic, political, religious or ethical incentive is associated with publishing this article. Editor’s Note: This article is the ••• of 5 published in this issue for which category 1 CME credits can be earned. Instructions for obtaining credits are given with the questions on pages ••• and •••. © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsRelated articlesJournal of UrologyAug 28, 2020, 12:00:00 AMEditorial CommentJournal of UrologyAug 28, 2020, 12:00:00 AMEditorial Comment Volume 204Issue 5November 2020Page: 995-995 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Elaine J. Redmond Division of Urology, University of Alberta, Edmonton, Alberta, Canada More articles by this author Dylan T. Hoare Division of Urology, University of Alberta, Edmonton, Alberta, Canada More articles by this author Keith F. Rourke Division of Urology, University of Alberta, Edmonton, Alberta, Canada *Correspondence: Division of Urology, Department of Surgery, University of Alberta, 7th Floor, Kaye Edmonton Clinic, 11400 University Ave., Edmonton, Alberta T6G-1Z1 telephone: 780-407-5800; FAX: 780-441-2597; E-mail Address: [email protected] More articles by this author Expand All No direct or indirect commercial, personal, academic, political, religious or ethical incentive is associated with publishing this article. Editor’s Note: This article is the ••• of 5 published in this issue for which category 1 CME credits can be earned. Instructions for obtaining credits are given with the questions on pages ••• and •••. Advertisement Loading ...

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)0.004
metaresearch head score (Gemma)0.060
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: Other · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score0.392

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.060
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0050.005
Open science0.0020.004
Research integrity0.0190.021
Insufficient payload (model declined to judge)0.1170.098

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 head0.028
GPT teacher head0.277
Teacher spread0.249 · 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
GenreOther

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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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