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Record W4412874259 · doi:10.31138/mjr.310724.iia

Psoriatic Onycho-Pachydermo Periostitis (POPP)

2025· article· en· W4412874259 on OpenAlexaff
Aline Serfaty, Flávia Martins Costa, Luiza Feres, Alessandro Severo, Edson Marchiori, Clarissa Canella

Bibliographic record

VenueMediterranean Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPeriostitisDermatologyMedicine

Abstract

fetched live from OpenAlex

This paper has no abstract. Cite this article as: Serfaty A, Costa F, Feres L, Severo A, Marchiori E, Canella C. Psoriatic Onycho-Pachydermo Periostitis (POPP). Mediterr J Rheumatol 2025;36(2):346-348. Article Submitted: 31 Jul 2024; Revised Form: 8 Sep 2024; Article Accepted: 13 Sep 2024; Available Online: 14 May 2025 https://doi.org/10.31138/mjr.310724.iia This work is licensed under a Creative Commons Attribution 4.0 International License. ©2025 The Author(s).

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.003

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 head0.012
GPT teacher head0.295
Teacher spread0.284 · 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 designCase report
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
Published2025
Admission routes1
Has abstractyes

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