[Intrauterine growth restriction--diagnosis and treatment].
Bibliographic record
Abstract
The prevalence of low birth weight affects approximately 3-10% of live-born newborns in developed countries and in developing countries it affects 15-20% of newborns. The most common cause of low birth weight is considered to intrauterine fetal growth resctriction. Low birth weight is responsible for 69.6% of stillbirths and for 66.4% of neonatal deaths. The purpose of this paper is to review reliable scientific data in order to summarize the current guidelines on intrauterine fetal growth restriction, addressed to obstetricians. The present review is based on guidelines of the American College of Obstetricians and Gynecologists (ACOG), the Royal College of Obstetricians and Gynaecologists (RCOG), the Society of Obstetricians and Gynaecologists of Canada (SOGC), the results of DIGITAT- (ang. The Disproportionate Growth intrauterine Intervention Trial At Term) PORTO Study- (ang. Prospective Observational Trial is the Opitimize Pedriatric Health in intrauterine Growth Restriction), TRUFFLE- (ang. Randomized Trial of Fetal and Umbilical Flow in Europe), and the available literature.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".