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Record W4387272198 · doi:10.2139/ssrn.4580987

Consensus on the Definitions and Descriptions of the Domains of the Omeract Core Outcome Set for Shared Decision Making Interventions in Rheumatology Trials

2023· preprint· en· W4387272198 on OpenAlexaff
Simon Décary, Maarten de Wit, Florian Naye, Jennifer L. Barton, Liana Fraenkel, Linda Li, Peter Brooks, Dawn Stacey, Lara Maxwell, Willemina Campbell, C. Richard Hofstetter, Marieke Voshaar, Alexa Meara, Robin Christiansen, Annelies Boonen, María E. Suarez‐Almazor, Tanya Meade, Lyn March, Janet Jull, Rieke Alten, Esi M. Morgan, Glen Hazlewood, Claire Barber, Françis Guillemin, Yasser El Miedany, Shikha Mittoo, Tiffany Westrich Robertson, Susan J. Bartlett, Jasvinder A. Singh, Melissa L. Mannion, Samah Ismail Nasef, Anne Boel, Adewale Adebajo, Laurent Arnaud, Tiffany K. Gill, Ellen Moholt, Jennifer Burt, Ihsane Hmamouchi, Dorthe B. Berthelsen, Francisco J. Blanco, Kate Mather, Ajesh B. Maharaj, Saurab Sharma, Francesco Caso, Dorcas Beaton, Beverly Shea, Christopher Fong, Anthony P. Fernandez, Sarah Mackie, Elena Nikiphorou, C Allyson Jones, Regina Greer-Smith, Victor S. Sloan, Akpabio Akpabio, Vibeke Strand, Rebecca Rachael Lee, Valerie Umaefulam, Sara Monti, Nouran Abaza, Grayson Schultz, Simon Stones, Laure Gossec, Sabrina Mai Nielsen, Sabrina Cavallo, Hemalatha Srinivasalu, Deb Constien, Peter Tugwell, Karine Toupin‐April

Bibliographic record

VenueSSRN Electronic Journal · 2023
Typepreprint
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversité de MontréalUniversity of AlbertaMcGill UniversityUniversity of CalgaryToronto Western HospitalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversity of TorontoUniversity of OttawaUniversity of British ColumbiaQueen's UniversityUniversité de Sherbrooke
Fundersnot available
KeywordsPsychological interventionOutcome (game theory)Core (optical fiber)Set (abstract data type)RheumatologyMedicineInternal medicineAlternative medicineComputer scienceNursingPathology

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)0.616
metaresearch head score (Gemma)0.605
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.384
Threshold uncertainty score0.473

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6160.605
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0060.007
Bibliometrics0.0090.006
Science and technology studies0.0050.012
Scholarly communication0.0140.010
Open science0.0100.016
Research integrity0.0090.023
Insufficient payload (model declined to judge)0.0030.001

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 head0.636
GPT teacher head0.551
Teacher spread0.085 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainMethods
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

Citations1
Published2023
Admission routes1
Has abstractno

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