Bibliographic record
Abstract
Pediatric hypertension (pHTN) is a complex and multifactorial disorder with a rising prevalence.Current guidelines originating from Canada 1 , the United States 2 , and Europe 3 , among others, have published criteria aimed at identifying and diagnosing pHTN.However, due to the challenges with obtaining an accurate blood pressure (BP) in children, as well as some of the complexities with diagnosis (the use of Z-scores), many children will go undiagnosed with pHTN.Risk factors for pHTN include obesity 1 , sleep disordered breathing 4 , both proteinuric 5 and non-proteinuric renal disease, and cardiac disease, among others.Importantly, untreated pHTN is directly related to end organ damage including left ventricular hypertrophy, hypertensive retinopathy, and early vascular aging 6 .When left unopposed, pHTN trajectories will continue into adulthood 7 .As such, much research in the field of both adult and pHTN is directed at diagnosing hypertension early and initiating treatment to prevent the development of end organ damage and legacy hypertension.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".