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Record W3215650992 · doi:10.1016/s2665-9913(21)00318-0

Pain levels and associated factors in the Scleroderma Patient-centered Intervention Network (SPIN) cohort: a multicentre cross-sectional study

2021· article· en· W3215650992 on OpenAlexafffund
Yvonne Lee, Rina S. Fox, Linda Kwakkenbos, Brooke Levis, Marie‐Eve Carrier, Joep Welling, Maureen Sauvé, Luc Mouthon, Andrea Benedetti, Susan J. Bartlett, John Varga, Brett D. Thombs, Richard S. Henry, Karen Gottesman, Marie Hudson, Laura K. Hummers, Vanessa L. Malcarne, Maureen D. Mayes, Warren R. Nielson, Robert J. Riggs, Shervin Assassi, Ghassan El‐Baalbaki, Carolyn Ells, Kim Fligelstone, Catherine Fortuné, Tracy Frech, Amy Gietzen, Geneviève Guillot, Daphna Harel, Monique Hinchcliff, Sindhu R. Johnson, Maggie Larché, Catarina Leite, Christelle Nguyen, Karen Nielsen, Janet Pope, François Rannou, Michelle Richard, Tatiana Sofia Rodrı́guez-Reyna, Anne A. Schouffoer, María E. Suarez‐Almazor, C. Agard, Nassim Ait Abdallah, Alexandra Albert, Marc André, Elana J. Bernstein, S. Berthier, Lyne Bissonnette, Alessandra Bruns, Patrícia Carreira, Marion Casadevall, Benjamin Chaigne, Chase Correia, Benjamin Crichi, Christopher P. Denton, Robyn T. Domsic, James V. Dunne, Bertrand Dunogué, Regina Faré, Dominique Farge, Paul R. Fortin, Jessica Gordon, Brigitte Granel-Rey, Geneviève Gyger, É. Hachulla, Ariane L. Herrick, Sabrina Hoa, Alena Ikic, Niall Jones, Suzanne Kafaja, Nader Khalidi, M. Lambert, David Launay, Hélène Maillard, Nancy Maltez, Joanne Manning, Isabelle Marié, Maria Martin, Thierry Martin, Ariel Masetto, F. Maurier, A. Mékinian, Sheila Melchor, Mandana Nikpour, Louis Olagne, Vincent Poindron, Susanna Proudman, Alexis Régent, Sébastien Rivière, David Robinson, Esther Rodríguez, Sophie Roux, P. Smets, Vincent Sobanski, Robert Spiera, Virginia Steen, Evelyn Sutton, Carter Thorne, Pearce Wilcox, Angelica Bourgeault, Mara Cañedo Ayala, Andrea Carboni Jiménez, Marie-Nicole Discepola, Maria Gagarine, Julia Nordlund, Nora Østbø

Bibliographic record

VenueThe Lancet Rheumatology · 2021
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsMcGill University Health CentreMcGill UniversityMultiple Sclerosis Society of CanadaJewish General Hospital
FundersNational Cancer InstituteLady Davis Institute for Medical ResearchCanadian Institutes of Health ResearchFondation de l'Hôpital général juifScleroderma Society of OntarioRussian Science FoundationJewish General HospitalFonds de Recherche du Québec - SantéArthritis SocietyMcGill University
KeywordsMedicineCohortPhysical therapyCross-sectional studyRheumatologyRheumatismInternal medicineCohort studyPathology

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.314
Teacher spread0.263 · 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 designObservational
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

Citations22
Published2021
Admission routes2
Has abstractno

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