Understanding obstetrical soft markers: Significance and implications in 2025
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the past two decades, prenatal screening options have advanced considerably. Ultrasound soft markers and serum screening have long served as the foundation for non-invasive aneuploidy risk assessment. The advent of cell-free DNA (cfDNA) testing has further enhanced the ability to screen for common aneuploidies, offering the most accurate single screening method for trisomies 21, 18, and 13. The Society of Obstetricians and Gynaecologists of Canada (SOGC) first published guidelines on soft markers in 2005, with subsequent updates in 2017 and 2024, reflecting ongoing changes in screening recommendations. Consequently, the role of ultrasound soft markers has shifted. Many isolated soft markers are no longer considered statistically significant. This article will review recent developments and their relevance to current sonographic practice, emphasizing the continued importance of soft markers in identifying chromosomal abnormalities.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it