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Record W2548410182 · doi:10.3899/jrheum.160835

Dr. Koeckhoven, <i>et al</i> reply

2016· letter· he· W2548410182 on OpenAlexvenueno aff
E. Koeckhoven, Marike van der Leeden, Leo D. Roorda, Natasja M. van Schoor, Paul Lips, A. de Zwart, Joost Dekker, M. van der Esch, Willem F. Lems

Bibliographic record

VenueThe Journal of Rheumatology · 2016
Typeletter
Languagehe
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisCohortVitamin D and neurologyInternal medicinePhysical therapyGastroenterologyPathologyAlternative medicine

Abstract

fetched live from OpenAlex

To the Editor: We highly appreciate the letter of Tufan, et al 1, in which they showed their interest in our manuscript “The Association between Serum 25-hydroxy Vitamin D Level and Upper Leg Strength in Patients with Knee Osteoarthritis: Results of the Amsterdam Osteoarthritis Cohort”2. Tufan, et al suggested that the assessment of 25-hydroxy Vitamin D [25(OH)D] should be … Address correspondence to M. van der Leeden, Amsterdam Rehabilitation Research Center | Reade, P.O. Box 58271, 1040 HG Amsterdam, the Netherlands. E-mail: M.vd.Leeden{at}reade.nl

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.003
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.004
Open science0.0020.001
Research integrity0.0240.028
Insufficient payload (model declined to judge)0.0070.006

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 head0.026
GPT teacher head0.323
Teacher spread0.297 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2016
Admission routes1
Has abstractyes

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