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OMERACT Core outcome measurement set for shared decision making in rheumatic and musculoskeletal conditions: a scoping review to identify candidate instruments

2023· review· en· W4389831720 on OpenAlexafffund
Florian Naye, Karine Toupin‐April, Maarten de Wit, Annie LeBlanc, Olivia Dubois, Annelies Boonen, Jennifer L. Barton, Liana Fraenkel, Linda Li, Dawn Stacey, Lyn March, Claire Barber, Glen Hazlewood, Françis Guillemin, Susan J. Bartlett, Dorthe B. Berthelsen, Kate Mather, Laurent Arnaud, Akpabio Akpabio, Adewale Adebajo, Grayson Schultz, Victor S. Sloan, Tiffany K. Gill, Saurab Sharma, Marieke Voshaar, Francesco Caso, Elena Nikiphorou, Samah Ismail Nasef, Willemina Campbell, Alexa Meara, Robin Christensen, María E. Suarez‐Almazor, Janet Jull, Rieke Alten, Esi M. Morgan, Yasser El Miedany, Jasvinder A. Singh, Jennifer Burt, Arundathi Jayatilleke, Ihsane Hmamouchi, F.J. Blanco, Anthony P. Fernandez, Sarah Mackie, C Allyson Jones, Vibeke Strand, Sara Monti, Simon Stones, Rebecca Rachael Lee, Sabrina Mai Nielsen, Vicki Evans, Hemalatha Srinivasalu, Thomas Gérard, Juliette Demers, Roxanne Bouchard, Théo Stefan, Michèle Dugas, Frédéric Bergeron, Dorcas Beaton, Lara Maxwell, Peter Tugwell, Simon Décary

Bibliographic record

VenueSeminars in Arthritis and Rheumatism · 2023
Typereview
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversity of AlbertaWiLAN (Canada)Newfoundland and Labrador Centre for Applied Health ResearchQueen's UniversityMcGill UniversityUniversity of OttawaMcGill University Health CentreUniversity Health NetworkOttawa HospitalResearch CanadaUniversité LavalInstitute for Work & HealthUniversity of CalgaryOttawa Public HealthChildren's Hospital of Eastern OntarioCentre Hospitalier Universitaire de SherbrookeToronto Western HospitalUniversity of British ColumbiaInstitut du Savoir MontfortCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de Sherbrooke
FundersCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research
KeywordsMedicineCore (optical fiber)Outcome (game theory)Physical therapySet (abstract data type)Medical physics

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)0.081
metaresearch head score (Gemma)0.129
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 score0.919
Threshold uncertainty score0.426

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0810.129
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.016
Bibliometrics0.0130.010
Science and technology studies0.0020.002
Scholarly communication0.0060.003
Open science0.0030.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.313
GPT teacher head0.567
Teacher spread0.253 · 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

Citations13
Published2023
Admission routes2
Has abstractno

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