MétaCan
Menu
← Back to cohort
Record W4404393865 · doi:10.3899/jrheum.2024-1041

Broadening the Landscape for Treatment Recommendations in the Management of Axial Spondyloarthritis

2024· editorial· en· W4404393865 on OpenAlexvenueno aff
Wilson Bautista‐Molano

Bibliographic record

VenueThe Journal of Rheumatology · 2024
Typeeditorial
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAxial spondyloarthritisMEDLINEPhysical therapyAnkylosing spondylitisDermatologySurgery

Abstract

fetched live from OpenAlex

A few of the main objectives when developing management recommendations for musculoskeletal diseases, including axial spondyloarthritis (axSpA), are to improve patient outcomes, standardize clinical care, and optimize clinical decision making. Guidelines aim to synthesize the latest evidence on treatment efficacy and safety, providing rheumatologists and clinicians with clear, actionable guidance on managing complex, heterogeneous, and chronic conditions. Standardized recommendations facilitate a more uniform approach to clinical care, reducing variability in treatment practices and promoting best practices across diverse healthcare settings.1

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)0.045
metaresearch head score (Gemma)0.181
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: Editorial
Teacher disagreement score0.045
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.181
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0060.003
Science and technology studies0.0040.006
Scholarly communication0.0140.012
Open science0.0050.004
Research integrity0.0230.039
Insufficient payload (model declined to judge)0.0140.011

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 head0.017
GPT teacher head0.308
Teacher spread0.291 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Rheumatology→Same topicSpondyloarthritis Studies and Treatments→French-language works237,207→