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THU0677 Outcome measurement instruments for safety in rheumatology: a scoping review of available instruments to inform the omeract safety working group

2017· review· en· W2754780777 on OpenAlexaff
Louise Klokker, Thasia Woodworth, DE Furst, Peter Tugwell, Daniel J. Devoe, Paula Williamson, Caroline B. Terwee, ME Suarez-Almazor, V Strand, AL Leong, Niti Goel, Maarten Boers, Peter Brooks, LS Simon, Robin Christensen

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2017
Typereview
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversity of CalgaryUniversity of Ottawa
Fundersnot available
KeywordsMedicineRheumatologyInternal medicineAdverse effectClinical trialPatient safetyMEDLINEMedical physicsFamily medicinePhysical therapyHealth care

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)0.074
metaresearch head score (Gemma)0.121
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score0.389

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0740.121
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.011
Bibliometrics0.0170.014
Science and technology studies0.0010.002
Scholarly communication0.0060.004
Open science0.0030.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.592
GPT teacher head0.544
Teacher spread0.048 · 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.

Study designSystematic review
DomainMethods
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

Citations0
Published2017
Admission routes1
Has abstractno

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