Title: SYLVIAN FISSURE AND INSULAR LOBE DEPTH IN NORMAL PREGNANCY VERSUS INTRAUTERINE GROWTH RESTRICTION IN SEVERE PRE-ECLAMPSIA
Bibliographic record
Abstract
Definitions of pre-eclampsia have varied throughout the times. Improved understanding of the pathogenesis of pre-eclampsia has influenced the definitions. Pre-eclampsia is a pregnancy specific condition diagnosed when blood pressure is elevated above 140 mmHg systolic and/or 90 mmHg diastolic and proteinuria over 0.3 mg per day after 20+0 weeks of gestation. Pre-eclampsiais commonly divided into early- and late-onset disease and preterm and term subtypes based on the time of delivery or time of the diagnosis. The American College of Obstetricians and Gynecologists (ACOG) proposed, in the Task Force on Hypertension in gestation recommendations that, in the absence of proteinuria, pre-eclampsia could be diagnosed when newly diagnosed hypertension occurs in association with thrombocytopenia, impaired liver function, new development of renal insufficiency, pulmonary oedema, or new onset cerebral or visual disturbances. The Australasian Society for the Study of Hypertension and the Society of Obstetricians and Gynaecologists of Canada have adopted even broader definitions and include fetal features, such as fetal growth restriction, in the definitions.
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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".