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OP0262-HPR THE NEURO-QOL UPPER EXTREMITY FUNCTION SCALE: NEW OPPORTUNITIES TO MORE RELIABLY AND PRECISELY MEASURE SELF-REPORTED HAND FUNCTION AND SELF-CARE ACTIVITIES IN PEOPLE WITH RA

2021· article· en· W3164858320 on OpenAlexafffund
Susan J. Bartlett, Orit Schieir, Marie‐France Valois, Gilles Boire, Janet Pope, Edward Keystone, Carter Thorne, D. Tin, Carol Hitchon, Louis Bessette, Glen Hazlewood, V. Bykerk

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2021
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsUniversity of ManitobaUniversité LavalCanadian Rheumatology AssociationUniversity of TorontoWestern UniversityUniversity of CalgaryMcGill UniversityUniversité de SherbrookeMcGill University Health Centre
FundersJanssen BiotechEli Lilly CanadaSanofi GenzymeSandoz CanadaMerck CanadaBristol-Myers Squibb CanadaGilead SciencesPfizer CanadaSanofiAbbVie CanadaAmgenPfizerEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicineQuality of life (healthcare)Physical therapyActivities of daily livingCohortPhysical medicine and rehabilitationInternal 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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.032
GPT teacher head0.269
Teacher spread0.237 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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
Published2021
Admission routes2
Has abstractno

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