IMPROVING THE DIAGNOSIS AND MANAGEMENT OF FETAL GROWTH RESTRICTION: THE RATIONALE FOR A PLACENTA CLINIC
Bibliographic record
Abstract
Successful pregnancy outcome depends on a co-coordinated series of events in development designed to attain normal placental function. The critical importance of placental vascular development is appreciated when a wide range of pregnancy complications including preterm labour (PTL), preterm premature rupture of the membranes (PPROM), pre-eclampsia (PE), fetal growth restriction (FGR), fetal demise (FD), and abruptio placenta (ABR) are all associated with restricted maternal and/or fetal blood flow, and secondary pathological lesions in the placental parenchyma. Other developmental defects of the placenta, such as its site (placenta praevia), extent of myometrial invasion (placenta accreta) or cord insertion (vasa praevia), may have major detrimental maternal and/or fetal effects if unrecognized during the antenatal period. In January 1999 we commenced a “Placenta Clinic” within the Fetal Medicine Unit at Mount Sinai Hospital (Toronto, Canada). Our rationale was that the early identification of many of these problems may, by facilitating appropriate multidisciplinary care and an elective delivery plan, reduce the attendant risks of maternal and perinatal morbidity and/or mortality due to placental malfunction.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".