Estimating gestational age using placental thickness and fetal weight
Bibliographic record
Abstract
The correlation between placental thickness, gestational age and fetal weight across different stages of pregnancy is of interest. Hence, 187 women (11-40 weeks gestation) at Maa Vindhyavasini Autonomous State Medical College and SMMH Medical College in India participated in this study. Results showed that mean placental thickness increased with gestational age (2.083 cm at 11-20 weeks, 2.623 cm at 20-30 weeks and 3.29 cm at 30-40 weeks), while fetal weight also increased (172.05g, 746.67g and 2584.49g, respectively). A strong positive correlation was found between gestational age and both fetal weight and placental thickness, except during early pregnancy (11-21 weeks), with statistical significance at the 5% level. Thus, the correlation between placental thickness, fetal weight and gestational age in 187 pregnant women, showing strong positive correlations, especially in later stages of pregnancy is reported.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.000 |
| 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".