A project to validate the GLU test for preterm birth prediction in First Nations women
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.
Bibliographic record
Abstract
The protocol described in the present article aims to validate the GLU test, a test of mid-pregnancy vaginal microbiome, for PTB risk prediction in pregnant First Nations women. Preterm birth (PTB; birth before 37 completed weeks gestation) is associated with a higher risk of adverse neonatal outcomes. First Nations communities are affected by increasing PTB rates, highest in remote communities, reaching 23%. Being able to predict women at high risk of PTB is one of the greatest challenges of our time. No reliable clinical predictors of PTB risk currently exist, beyond a previous history. Spontaneous PTB (sPTB) is highly associated with microbial infection. Recently, a Western Australian research team developed an innovative mid-pregnancy vaginal microbial DNA test, the ‘Gardnerella, Lactobacillus, Ureaplasma’ (GLU) test, capable of predicting up to 45% of sPTB cases. However, this test has only been validated in predominantly Caucasian pregnant women. The protocol described aims to validate the GLU test in pregnant First Nations women and where applicable, make modifications to this test to improve sensitivity and specificity within this population.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it