DYSMETABOLIC SYNDROME, PLACENTA-MEDIATED DISEASE AND FUTURE RISK OF CARDIOVASCULAR DISEASE
Bibliographic record
Abstract
Tara, a 24 year-old woman of Sri Lankan ancestry, was diagnosed with borderline chronic hypertension just 4 months before her first pregnancy. While she experienced a healthy childhood and normal pubertal development, by age 22 years her body mass index (BMI) was 29 kg/m2. The first pregnancy was complicated by chronic hypertension and superimposed preeclampsia (PET), necessitating Caesarian delivery at 33 weeks gestation. In her third pregnancy she was diagnosed with gestational diabetes mellitus (DM), and delivered a 4100 g macrosomic infant boy by Caesarian section. By age 42 years, Tara was started on oral medications for Type 2 DM and hypertriglyceridaemia; 9 years later she suffered a small lacunar stroke, leaving her with moderate left-sided weakness of the arm and leg. Her own mother had experienced “high blood sugars” during pregnancy, was overweight, and died at age 54 years from the complications of high blood pressure.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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".