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Record W2128084341 · doi:10.1136/ard.2010.133488

ASAS recommendations for collecting, analysing and reporting NSAID intake in clinical trials/epidemiological studies in axial spondyloarthritis

2010· article· en· W2128084341 on OpenAlexaff
M. Dougados, S. Paternotte, Jürgen Braun, Rubén Burgos‐Vargas, Walter P. Maksymowych, Joachim Sieper, D. van der Heijde

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2010
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePiroxicamMeloxicamEtodolacEtoricoxibIbuprofenDiclofenacNaproxenAceclofenacKetoprofenPhenylbutazoneRheumatoid arthritisRofecoxibNabumetoneCelecoxibAnkylosing spondylitisClinical trialNaproxen SodiumTramadolInternal medicineAnalgesicPharmacologyNonsteroidalCyclooxygenaseAlternative medicine

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)0.272
metaresearch head score (Gemma)0.453
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.728
Threshold uncertainty score0.897

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2720.453
Meta-epidemiology (narrow)0.0050.008
Meta-epidemiology (broad)0.0110.019
Bibliometrics0.0190.018
Science and technology studies0.0030.005
Scholarly communication0.0090.004
Open science0.0080.007
Research integrity0.0210.020
Insufficient payload (model declined to judge)0.0090.012

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 head0.510
GPT teacher head0.560
Teacher spread0.051 · 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 designNot applicable
DomainReporting
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

Citations245
Published2010
Admission routes1
Has abstractno

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