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Record W4406988553 · doi:10.1177/12034754251316302

Key Data Elements for Hidradenitis Suppurativa: Consensus Recommendations for Clinical and Research Practices

2025· letter· en· W4406988553 on OpenAlexafffund
Megan Park, Cathryn Sibbald, Christopher P. Keeling, David Croitoru, Hélène Veillette, Irene Lara‐Corrales, Irina Turchin, Marni Wiseman, Rebecca Levy, Se Mang Wong, Raed Alhusayen

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2025
Typeletter
Languageen
FieldMedicine
TopicHidradenitis Suppurativa and Treatments
Canadian institutionsSunnybrook Health Science CentreUniversity of ManitobaUniversity of British ColumbiaProbity Medical ResearchWomen's College HospitalDalhousie UniversityUniversity of TorontoSickKids FoundationHealth Sciences CentreUniversity Health NetworkUniversité LavalUniversity of AlbertaSKiN HealthHospital for Sick Children
FundersCIHR Skin Research Training Centre
KeywordsHidradenitis suppurativaMedicineKey (lock)DermatologyMEDLINEPathologyDisease

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.281
metaresearch head score (Gemma)0.640
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.281
Threshold uncertainty score0.887

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2810.640
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0120.012
Bibliometrics0.0130.010
Science and technology studies0.0090.012
Scholarly communication0.0230.022
Open science0.0150.015
Research integrity0.0820.083
Insufficient payload (model declined to judge)0.0200.014

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 head0.486
GPT teacher head0.537
Teacher spread0.051 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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 routes2
Has abstractno

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