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Record W4402874837 · doi:10.1111/cod.14695

Patch testing sodium tetrachloropalladate is a better means to detect palladium sensitisation then palladium chloride—Results of a clinical–epidemiological study of the Information Network of Departments of Dermatology (<scp>IVDK</scp>) from 2003 to 2022

2024· letter· en· W4402874837 on OpenAlexaboutno aff
Steffen Schubert, Susann Forkel, Christian Apfelbacher, M. Beigi, Katherina Siewert, Karin Hartmann

Bibliographic record

VenueContact Dermatitis · 2024
Typeletter
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsPalladiumEpidemiologyPatch testingSodiumAllergic contact dermatitisMedicineDermatologyPatch testContact dermatitisChemistryAllergyImmunologyOrganic chemistryPathology

Abstract

fetched live from OpenAlex

With great interest, we read the excellent publication 'Less efficient skin penetration of the metal allergen Pd 2+ compared to Ni 2+ and Co 2+ from patch test preparations' from Simon et al. published in the recent issue of July 2024. 1 Using Franz diffusion cell assays, the authors found that, after application of commercially available patch test preparations, the penetration of Pd 2+ ions into pigskin was increased if derived from sodium tetrachloropalladate (Na 2 PdCl 4 ) in comparison to palladium chloride (PdCl 2 ).We, therefore, thought to investigate whether this observation also has implications for contact allergy diagnoses via patch testing in a clinical setting.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.039
GPT teacher head0.295
Teacher spread0.256 · 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 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 abstractyes

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