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Record W2165442783 · doi:10.1016/j.jpain.2008.04.007

Core Outcome Domains and Measures for Pediatric Acute and Chronic/Recurrent Pain Clinical Trials: PedIMMPACT Recommendations

2008· article· en· W2165442783 on OpenAlexaff
Patrick J. McGrath, Gary A. Walco, Dennis C. Turk, Robert H. Dworkin, M. Brown, Karina W. Davidson, Christopher Eccleston, G. Allen Finley, Kenneth R. Goldschneider, Lynne Haverkos, Sharon Hertz, Gustaf Ljungman, Tonya M. Palermo, Bob A. Rappaport, Thomas Rhodes, Neil L. Schechter, Jane Scott, Navil F. Sethna, Ola Svensson, Jennifer Stinson, Carl L. von Baeyer, Lynn S. Walker, Steven J. Weisman, Richard E. White, Anne Zajicek, Lonnie K. Zeltzer

Bibliographic record

VenueJournal of Pain · 2008
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversity of SaskatchewanUniversity of TorontoSickKids FoundationHospital for Sick ChildrenDalhousie University
Fundersnot available
KeywordsMedicineClinical trialDelphi methodPhysical therapyChronic painMEDLINEAdverse effect

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.198
metaresearch head score (Gemma)0.348
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score0.989

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1980.348
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0130.018
Bibliometrics0.0060.006
Science and technology studies0.0030.003
Scholarly communication0.0060.004
Open science0.0080.007
Research integrity0.0120.012
Insufficient payload (model declined to judge)0.0100.006

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 head0.352
GPT teacher head0.499
Teacher spread0.147 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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

Citations858
Published2008
Admission routes1
Has abstractno

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