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Record W4409804249 · doi:10.1089/apc.2025.0026

<i>Letter:</i> Real-World Impact of Point-of-Care Testing for Syphilis and HIV in Non-Acute Care and Community Settings During a Syphilis Outbreak in Alberta, Canada

2025· letter· en· W4409804249 on OpenAlexaffabout
Jennifer Gratrix, Ameeta E. Singh, Carla Vetland, Noel Ives, Anastasia Eliopoulos, Kevin Fonseca, Byron M. Berenger, Cari Egan, Anna K. Füzéry, A. Mark Joffe, Laura McDougall, Sean B. Rourke, Richelle Schindler, William Stokes, L. Alexa Thompson, Graham Tipples, Stacy Valaire, Allison A. Venner

Bibliographic record

VenueAIDS Patient Care and STDs · 2025
Typeletter
Languageen
FieldMedicine
TopicSyphilis Diagnosis and Treatment
Canadian institutionsInstitute of Indigenous Peoples' HealthUniversity of CalgaryUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsMedicineSyphilisHuman immunodeficiency virus (HIV)OutbreakPoint-of-care testingFamily medicineGerontologyVirologyImmunology

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.188
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0200.014
Insufficient payload (model declined to judge)0.0140.004

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 head0.010
GPT teacher head0.259
Teacher spread0.249 · 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 designObservational
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

Citations1
Published2025
Admission routes2
Has abstractno

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