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POS1197 VALIDATION OF PATIENT-REPORTED OUTCOMES MEASUREMENT INFORMATION SYSTEM (PROMIS) QUESTIONNAIRES FOR CHILDREN WITH CHRONIC NONBACTERIAL OSTEOMYELITIS USING THE CHOIR DATA

2024· article· en· W4399481422 on OpenAlexaff
Yongdong Zhao, M. Eckert, Enxi Wu, M. Norman Oliver, Joshua Scheck, Sivia Lapidus, Ümmüşen Kaya Akça, Shima Yasin, Aleksander Lenert, Steven H. Stern, A. Insalaco, M. Pardeo, Giovanni Simonini, E. Marrani, Xingyu Wang, Binxiang Huang, L. K. Kovallick, Natalie Rosenwasser, E. Balay, Gabriel Casselman, Adriel Liau, Andreas Klein, Yonghong Shao, C. Yang, Martin A. Briggs, Enze Deng, P. R. Trunnell, I. Hamilton, E. Machrone, Doaa Mosad Mosa, Lori B. Tucker, Hermann Girschick, R M Laxer, George E. Tiller, J. D. Akikusa, Christian M. Hedrich, Karen Onel, F. Dedeoglu, Marinka Twilt, Seza Özen, Polly J. Ferguson, Laura E. Schanberg, Bryce B. Reeve

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsAlberta Children's HospitalHospital for Sick ChildrenUniversity of TorontoBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicinePatient-Reported Outcomes Measurement Information SystemOsteomyelitisSurgeryPsychometricsClinical psychology

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.802
Threshold uncertainty score0.256

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.311
Teacher spread0.264 · 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 teacher head, 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

Citations0
Published2024
Admission routes1
Has abstractno

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