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Endorsement of the OMERACT core domain set for shared decision making interventions in rheumatology trials: Results from a multi-stepped consensus-building approach

2021· article· en· W3145371996 on OpenAlexaff
Karine Toupin‐April, Simon Décary, Maarten de Wit, Alexa Meara, Jennifer L. Barton, Liana Fraenkel, Linda Li, Peter Brooks, Beverly Shea, Dawn Stacey, France Légaré, Anne Lydiatt, C. Richard Hofstetter, Laurie Proulx, Robin Christensen, Marieke Voshaar, María E. Suarez‐Almazor, Annelies Boonen, Tanya Meade, Lyn March, Janet Jull, Willemina Campbell, Rieke Alten, Esi M. Morgan, Ayano Kelly, Jessica Kaufman, Sophie Hill, Lara Maxwell, Françis Guillemin, Dorcas Beaton, Yasser El Miedany, Shikha Mittoo, Tiffany Westrich Robertson, Susan J. Bartlett, Jasvinder A. Singh, Melissa L. Mannion, Samah Ismail Nasef, Savia de Souza, Anne Boel, Adewale Adebajo, Laurent Arnaud, Tiffany K. Gill, Ellen Moholt, Jennifer Burt, Arundathi Jayatilleke, Ihsane Hmamouchi, David Carrott, Francisco J. Blanco, Kate Mather, Ajesh B. Maharaj, Saurab Sharma, Francesco Caso, Christopher Fong, Anthony P. Fernandez, Sarah Mackie, Elena Nikiphorou, C Allyson Jones, Regina Greer-Smith, Victor S. Sloan, Akpabio Akpabio, Vibeke Strand, Valerie Umaefulam, Sara Monti, Charmaine Melburn, Nouran Abaza, Simon Stones, Sonam Kiwalkar, Hemalatha Srinivasalu, Deb Constien, Lauren King, Peter Tugwell

Bibliographic record

VenueSeminars in Arthritis and Rheumatism · 2021
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsUniversity of AlbertaOttawa HospitalUniversity Health NetworkQueen's UniversityBruyèreUniversity of CalgaryInstitute for Work & HealthToronto Western HospitalUniversity of British ColumbiaSt. John’s Health Sciences CentreUniversity of TorontoCanadian Arthritis Patient AllianceChildren's Hospital of Eastern OntarioUniversité LavalMcGill University Health CentreUniversity of Ottawa
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute for Health and Care Research
KeywordsMedicineRheumatologyCore (optical fiber)Psychological interventionPhysical therapySet (abstract data type)Internal medicineMedical physicsNursing

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)0.611
metaresearch head score (Gemma)0.692
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.611
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6110.692
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0070.011
Bibliometrics0.0050.004
Science and technology studies0.0050.004
Scholarly communication0.0090.006
Open science0.0060.020
Research integrity0.0080.012
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 head0.309
GPT teacher head0.469
Teacher spread0.160 · 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 designQualitative
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

Citations21
Published2021
Admission routes1
Has abstractno

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