OP25.03: Does first trimester crown–rump length predict term birthweight?
Bibliographic record
Abstract
Traditionally, physiologic variation in fetal weight is believed to emerge during the latter half of pregnancy. However, recent evidence has suggested a correlation between crown–rump length (CRL) at 11–13 weeks gestation and abnormal fetal growth. These studies, though, have been limited by an inability to accurately confirm the date of conception. Therefore, we sought to determine the association between CRL and term birth weight (BW) in pregnancies where date of conception is precisely known. This cohort retrospective study (work in progress) includes 159 term, singleton pregnancies in women who had undergone in vitro fertilization (IVF) for conception. All pregnancies underwent viability 1 trimester ultrasounds and subsequent nuchal translucency (NT) screening at 11–14 weeks' gestation. Pregnancies were dated by the exact date of fertilization. The difference between the measured and the expected CRL was calculated and correlated to actual term birthweight. The difference between measured and expected CRL, expressed in days of gestation, at mid-1 trimester correlated with BW at delivery (r = 0.16, r2 = 0.026, P = 0.043) Figure 1. Our preliminary findings, in this well defined population, confirm recently published studies which suggest that f that suggest that physiologic variation in birth weight can be reflected by first trimester CRL.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".