PROBING FOR BACTERIAL INTERACTIONS IN BACTERIAL VAGINOSIS USING AN IN VITRO TRI-SPECIES BIOFILM MODEL
Bibliographic record
Abstract
Background: M. genitalium (MG) is an emerging STI. Canadian women show high MG prevalence and rates of macrolide resistance mutations. Screening asymptomatic women can be performed at home or in a clinic . Methods: The objective was to enroll young at- risk women to collect a first catch urine (FCU) and a self obtained vaginal swab (SOVS) (randomized) and to assess their ability to pool some of the FCU into an SOVS. We sought to determine ease of collection and pooling. Clinic collection used visual and verbal instructions and only visual instructions at home. Samples were tested by an Aptima MG analyte specific reagent (ASR) test on a Panther instrument(Hologic). MG-positive samples were tested for 23S rRNA mutations conferring macrolide resistance. Results: Genital tract symptoms were 12.6% for 198 women 16 to 32 years of age (mean 21.7) attending a youth clinic in Toronto, Canada. Prevalence of MG was 30.3% and 74.4% (29/39) of cases which were PCR amplifiable had 23s resistance mutations. Equal numbers of infections were recorded from the home and clinic. SOVS identified more positives than FCU but sample pooling identified extra positives. On a 5 point Likert scale for each step of vaginal self-collection, >97% found it easy; and would self-collect again and recommend it. Transferring urine to the swab with a squeegee was easy for 98%. Conclusion: Prevalence of Mycoplasma genitalium and macrolide resistance was high. SOVS identified more positives. Pooling specimens identified extra positives. Lessons learned: Equal numbers of MG positives were recorded at home and in the clinic. Women found self-collection and specimen pooling to be easy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".