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Record W2955384589 · doi:10.1177/1203475419858955

Genital Ulcer Disease: A Review of Pathogenesis and Clinical Features

2019· review· en· W2955384589 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2019
Typereview
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsUniversity of OttawaWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineLymphogranuloma venereumChancroidEtiologyGenital ulcerSex organDermatologySyphilisDiseaseImmunologySexually transmitted diseasePathologyHuman immunodeficiency virus (HIV)Chlamydia trachomatis

Abstract

fetched live from OpenAlex

Genital ulcer disease can be caused by a wide variety of sources. Most commonly, genital ulcer disease is grouped into infectious and noninfectious causes. HSV, syphilis, lymphogranuloma venereum, and chancroid represent some common infectious ulcers. Noninfectious causes on the other hand can be inflammatory, noninflammatory, or malignant (eg, squamous cell carcinoma). Depending on the etiology, genital ulcers may present with unique features that can help clinicians identify the etiology and start treatment in a timely manner. The clinical presentation and management of infectious and noninfectious genital ulcers will be discussed in this review.

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.

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)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.756
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
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 head0.068
GPT teacher head0.378
Teacher spread0.310 · 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