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OP0216 DEVELOPMENT, REFINEMENT AND WEIGHTING OF CANDIDATE CRITERIA FOR AXIAL DISEASE IN JUVENILE SPONDYLOARTHRITIS: AN INTERNATIONAL COLLABORATION

2022· article· en· W4291186570 on OpenAlexafffund
P. F. Weiss, Timothy G. Brandon, Aakanksha Aggarwal, Rubén Burgos‐Vargas, Robert A. Colbert, Gerd Horneff, Rik Joos, R. Laxer, Kirsten Minden, Angelo Ravelli, Nicolino Ruperto, Jen Rose Smith, M. L. Stoll, Shirley M. L. Tse, Filip Van den Bosch, Walter P. Maksymowych, R. Lambert, D. M. Biko, Nancy A. Chauvin, M. L. Francavilla, J. L. Jaremko, Nele Herregods, Özgür Kasapçopur, Muhammed Yıldız, A. M. Hendry

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsUniversity of AlbertaHospital for Sick Children
FundersPerelman School of Medicine, University of PennsylvaniaNational Institutes of HealthIstanbul Üniversitesi-CerrahpasaUniversiteit GentUniversity of AlbertaPennsylvania State UniversitySanjay Gandhi Postgraduate Institute of Medical SciencesNational Institute of Arthritis and Musculoskeletal and Skin DiseasesUniversitair Ziekenhuis GentUniversity of Wisconsin-MadisonHospital for Sick ChildrenUniversity of PennsylvaniaChildren's Hospital of Philadelphia
KeywordsMedicineJuvenileWeightingAxial spondyloarthritisDiseaseMedical physicsFamily medicinePathologyRadiologySacroiliitisGenetics

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)0.093
metaresearch head score (Gemma)0.077
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.093
Threshold uncertainty score0.494

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0930.077
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0060.002
Open science0.0040.007
Research integrity0.0020.003
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 head0.040
GPT teacher head0.358
Teacher spread0.317 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations0
Published2022
Admission routes2
Has abstractno

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