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Record W2007893357 · doi:10.1097/der.0b013e318281d87b

American Contact Dermatitis Society Core Allergen Series

2013· review· en· W2007893357 on OpenAlexvenueno aff
Peter C. Schalock, Cory A. Dunnick, Susan Nedorost, Bruce A. Brod, Erin M. Warshaw, Christen M. Mowad

Bibliographic record

VenueDermatitis · 2013
Typereview
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePatch testingAllergenSeries (stratigraphy)Core (optical fiber)Patch testDermatologyContact allergyAllergic contact dermatitisContact dermatitisImmunologyAllergyComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Evidence for the effectiveness of patch testing and the need for an expanded series that provides experience and evidence-based suggestions for an extended patch testing series are examined in this review. Many of those testing with shorter allergen series are interested in expanding the spectrum of patch testing. The American Contact Dermatitis Society (ACDS) Core Allergen Series Group has arranged a group of suggested allergen groups that can be logically scaled up or down depending on the needs of the patch tester and the community being tested. This is not an "ACDS 80 Standard." We suggest a core group of allergens similar to the TRUE Test (SmartPractice, Phoenix, Ariz) with subsequent trays providing a greater breadth of coverage in a logical fashion, with more likely allergens being higher in the tray. For more extensive testing, specialty trays (ie, cosmetics, metals, plant, etc) are recommended.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.037
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0370.009

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 head0.042
GPT teacher head0.311
Teacher spread0.270 · 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
GenreReview

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

Citations52
Published2013
Admission routes1
Has abstractyes

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