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Record W2806263926 · doi:10.1016/j.ijgo.2009.02.002

Announcing the winner of the John J. Sciarra IJGO Prize Paper Award for 2008

2009· article· en· W2806263926 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineManagementEconomics

Abstract

fetched live from OpenAlex

Objective: To assess the effectiveness of rectal naproxen for reducing perineal pain after vaginal delivery.Methods: A double-blind randomized controlled trial of 142 post partum women randomly allocated to receive either naproxen (71 patients) or placebo (71 patients) suppositories.The first dose was given immediately after complete perineal suturing, while the second dose was given 6 hours post partum.The validated Thai short-form McGill pain questionnaire was used to evaluate perineal pain at 0, 6, and 24 hours post partum.Pain scores were analyzed using the unpaired t test.Results: Pain scores at 6 and 24 hours for women in the naproxen group were significantly lower compared with women in the placebo group (6.4 and 2.3 vs 18.4 and 5.5; P b 0.001).No side effects with naproxen were found.Conclusions: Rectal naproxen is effective and safe for reducing perineal pain after vaginal delivery.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0370.005

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 head0.019
GPT teacher head0.253
Teacher spread0.234 · 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 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
Published2009
Admission routes1
Has abstractyes

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