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Record W1966835691 · doi:10.1097/der.0b013e3182a5d8a9

Allergic Contact Dermatitis From Ethylhexylglycerin in Sunscreens

2014· letter· en· W1966835691 on OpenAlexaffvenueabout
Denis Sasseville, Stanciu Monica

Bibliographic record

VenueDermatitis · 2014
Typeletter
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsRoyal Victoria HospitalMcGill University Health Centre
Fundersnot available
KeywordsMedicineReprintDermatologyContact dermatitisFamily medicineHealth scienceAllergic contact dermatitisLibrary scienceMedical educationAllergy

Abstract

fetched live from OpenAlex

Division of Dermatology, McGill University Health Centre, Montreal, Quebec, Canada Address reprint requests to Denis Sasseville, MD, FRCPC, Division of Dermatology, McGill University Health Centre, Royal Victoria Hospital, 687 Pine Ave W, Room A 4.17, Montreal, Quebec H3A 1A1, Canada. E-mail: [email protected]. The authors have no funding or conflicts of interest to declare.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0050.002

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 head0.019
GPT teacher head0.246
Teacher spread0.227 · 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

Citations26
Published2014
Admission routes3
Has abstractyes

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