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Record W2794927279 · doi:10.1016/s0022-5347(18)31545-3

1331: University of Toronto Clinical Trial of Muscle-Derived Cell Injection in Women with Stress Urinary Incontinence

2007· article· en· W2794927279 on OpenAlexaboutno aff
Lesley K. Carr, Deborah J. Steele, Shannon Steele, David R. Wagner, Ryan Pruchnic, Ronald J. Jankowski, Janet Erickson, Wendy W.J. de Leng, Michael B. Chancellor

Bibliographic record

VenueThe Journal of Urology · 2007
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCarrUrinary incontinenceGerontologyClassicsPsychoanalysisTheologyUrologyPsychologyPhilosophyHistory

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyModerated Poster 41, Tuesday, May 22, 2007, 10:00 am - 12:00 pm1 Apr 20071331: University of Toronto Clinical Trial of Muscle-Derived Cell Injection in Women with Stress Urinary Incontinence Lesley K. Carr, Deborah Steele, Shannon Steele, David Wagner, Ryan Pruchnic, Ronald J. Jankowski, Janet Erickson, Wendy W. Leng, and Michael B. Chancellor Lesley K. CarrLesley K. Carr More articles by this author , Deborah SteeleDeborah Steele More articles by this author , Shannon SteeleShannon Steele More articles by this author , David WagnerDavid Wagner More articles by this author , Ryan PruchnicRyan Pruchnic More articles by this author , Ronald J. JankowskiRonald J. Jankowski More articles by this author , Janet EricksonJanet Erickson More articles by this author , Wendy W. LengWendy W. Leng More articles by this author , and Michael B. ChancellorMichael B. Chancellor More articles by this author View All Author Informationhttps://doi.org/10.1016/S0022-5347(18)31545-3AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "1331: University of Toronto Clinical Trial of Muscle-Derived Cell Injection in Women with Stress Urinary Incontinence." The Journal of Urology, 177(4S), p. 439 © 2016 by American Urological AssociationFiguresReferencesRelatedDetails Volume 177Issue 4SApril 2007Page: 439 Advertisement Copyright & Permissions© 2016 by American Urological AssociationMetricsAuthor Information Lesley K. Carr More articles by this author Deborah Steele More articles by this author Shannon Steele More articles by this author David Wagner More articles by this author Ryan Pruchnic More articles by this author Ronald J. Jankowski More articles by this author Janet Erickson More articles by this author Wendy W. Leng More articles by this author Michael B. Chancellor 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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0570.004

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 head0.016
GPT teacher head0.279
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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

Citations5
Published2007
Admission routes1
Has abstractyes

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