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Record W2997936799 · doi:10.1111/bjd.18605

British Association of Dermatologists centenary year: standing on the shoulders of giants

2020· article· en· W2997936799 on OpenAlexaff
John R Ingram, David J. Gawkrodger

Bibliographic record

VenueBritish Journal of Dermatology · 2020
Typearticle
Languageen
FieldMedicine
TopicMedicine and Dermatology Studies History
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsDermatologyMedicineFamily medicine

Abstract

fetched live from OpenAlex

E‐mail: [email protected] Conflicts of interest: J.R.I. is Editor of the British Journal of Dermatology. D.J.G. is honorary treasurer and a trustee of the British Skin Foundation. In 2020, the British Association of Dermatologists (BAD) marks its one hundredth year since inception. One of its founding principles is to foster research to improve the care of those with skin disease. It does this in several ways including financial support for the British Skin Foundation, which makes grants available for dermatology research, and via its journals, the BJD and Clinical and Experimental Dermatology (CED). As part of the centenary celebrations a look back at some of the best papers in the BJD and CED is warranted. There are some real gems, including landmark publications introducing Sweet syndrome, orf, Lyell syndrome (toxic epidermal necrolysis, TEN), Ludwig's classification of androgenetic alopecia and the Dermatology Life Quality Index (DLQI). Let's start from the 1920s and work forwards to the present day. The paper by Cranston Low published in the October 1928 issue of The British Journal of Dermatology and Syphilis (subsequently renamed the BJD), highlights the ‘eczema–asthma–prurigo–complex’.1 It provides an early description of atopy, which in the 1920s was not well recognized, a situation that is difficult to contemplate now.

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 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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.030
GPT teacher head0.260
Teacher spread0.230 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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