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Record W3175706236 · doi:10.1007/s00216-021-03470-w

Assessment of serum total 25-hydroxyvitamin D assay commutability of Standard Reference Materials and College of American Pathologists Accuracy-Based Vitamin D (ABVD) Scheme and Vitamin D External Quality Assessment Scheme (DEQAS) materials: Vitamin D Standardization Program (VDSP) Commutability Study 2

2021· article· en· W3175706236 on OpenAlexaff
Johanna E Camara, Stephen A. Wise, Andrew N. Hoofnagle, Emma L. Williams, Graham D. Carter, Julia C. Jones, Carolyn Q Burdette, Grace Hahm, Federica Nalin, Adam J. Kuszak, Joyce Merkel, Ramón Durazo-Arvizú, Pierre Lukas, Etienne Cavalier, Christian Popp, Christian Beckert, Jan Schultess, Glen Van Slooten, Carole Tourneur, Camille Pease, Ravi Kaul, Alfredo Villarreal, Fiona Ivison, Ralf Fischer, Jody M.W. van den Ouweland, Chung Shun Ho, Emmett W. K. Law, Jean-Nicolas Simard, Renaud Gonthier, Brett Holmquist, Marcelo C. Batista, Heather Pham, Alex Bennett, Sarah Meadows, Lorna Cox, Eugène Jansen, Dilshad Ahmed Khan, Kimberly Robyak, Michael H. Creer, Mark Kilbane, Patrick J. Twomey, James Freeman, Neil H. Parker, Jinyun Yuan, Robert L. Fitzgerald, Sohail Mushtaq, Michael W. Clarke, Norma Breen, Christine Simpson, Christopher T. Sempos

Bibliographic record

VenueAnalytical and Bioanalytical Chemistry · 2021
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsTheratechnologies (Canada)
FundersAustralian GovernmentNational Institutes of HealthVirginia Commonwealth UniversityNational Institute of Standards and TechnologyOffice of Dietary Supplements
KeywordsExternal quality assessmentVitamin D and neurologyVitamin D-binding proteinVitaminChemistryChromatographyMedicineInternal medicineBiochemistryPathology

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.038
GPT teacher head0.395
Teacher spread0.357 · 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.

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

Citations21
Published2021
Admission routes1
Has abstractno

Explore more

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