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Record W1761300068 · doi:10.1002/acr.21641

2012 Update of the 2008 American College of Rheumatology recommendations for the use of disease‐modifying antirheumatic drugs and biologic agents in the treatment of rheumatoid arthritis

2012· review· en· W1761300068 on OpenAlexafffund
Jasvinder A. Singh, Daniel E. Fürst, Aseem Bharat, Jeffrey R. Curtis, Arthur F. Kavanaugh, Joel M. Kremer, Larry W. Moreland, James R. O’Dell, Kevin Winthrop, Timothy Beukelman, S. Louis Bridges, W. Winn Chatham, Harold E. Paulus, María E. Suarez‐Almazor, Claire Bombardier, Maxime Dougados, Dinesh Khanna, Charles M. King, Amye Leong, Eric L. Matteson, John T. Schousboe, Eileen Moynihan, Karen S. Kolba, Archana Jain, Elizabeth R. Volkmann, Harsh Agrawal, Sangmee Bae, Amy S. Mudano, Nivedita M. Patkar, Kenneth G. Saag

Bibliographic record

VenueArthritis Care & Research · 2012
Typereview
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsBombardier (Canada)Toronto General Hospital
FundersNational Center for Research ResourcesNational Institute of Arthritis and Musculoskeletal and Skin DiseasesUniversity of Alabama at BirminghamAstraZenecaPfizerUniversity of AlabamaBiogenAbbott CanadaU.S. Department of Veterans Affairs
KeywordsRheumatoid arthritisMedicineAntirheumatic drugsRheumatologyAntirheumatic AgentsInternal medicineDiseaseAlternative medicineBiologic AgentsPhysical therapyPathology

Abstract

fetched live from OpenAlex

Peer Reviewed

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)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0090.006
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.004

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 head0.183
GPT teacher head0.413
Teacher spread0.230 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations1,800
Published2012
Admission routes2
Has abstractyes

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