Pattern of fibrin stabilizing factor (FXIII) expression in placentas of women suffering with gestational diabetes mellitus in Saint John, New Brunswick
Bibliographic record
Abstract
Abstract Gestational diabetes mellitus (GDM) affects 2-5% of all pregnancies and is known to place the fetus at risk for adverse fetal outcomes. Previous studies have reported the increased presence of villous immaturity in the placentas of women with gestational diabetes. Villous immaturity poses a great risk of restricted diffusion capacity across the placenta and may be a marker for some of the placental insufficiency associated with diabetes mellitus. The present study looks at the possibility of using fibrin stabilizing factor, or Factor XIII (FXIII), as a biomarker of villous immaturity. The aim of the present study is to establish a baseline pattern of FXIII expression in placentas of women in Saint John, NB with GDM, without villous immaturity using a scoring formula adapted from surgical pathology. While the small sample size precludes definitive conclusions regarding the expression of FXIII in normal placentas in women with GDM, there appears to a baseline of strong FXIII expression in normal placental tissues from the second and third trimester of pregnancy. Further study using a larger sample size is required to determine if a correlation exists between level of FXIII expression and degree of villous maturity in patients with GDM, which could improve the histologic assessment of placental development.
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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 | 0.000 | 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".