Serological profiling with Chlamycheck, a commercial multiplex recombinant antigen Western blot assay of chlamydial infections
Bibliographic record
Abstract
A new chlamydial test system, the Chlamycheck assay, which uses 4 purified recombinant antigens of Chlamydia trachomatis and Chlamydophila pneumoniae and one antigen of Chlamydophila psittaci, has been developed and commercialized. We investigated the reactivities of the recombinant antigens with sera from a group of 30 patients with acute Chlamydia trachomatis infection, 88 patients consulting for sexually transmitted infections, and 46 patients with serological evidence of Chlamydophila pneumoniae infection. The results obtained from human and infected mouse sera suggest that Chlamycheck serology against multiple proteins may provide additional useful information that is not available by conventional whole elementary body microimmunofluorescence or single-antigen enzyme-linked immunosorbent assay serology. Specific serological profiles were associated with acute versus past Chlamydia trachomatis infection or with Chlamydia trachomatis primo-infection versus infection in a Chlamydophila pneumoniae history context.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".