Influence of the mother's preceding pregnancy on the gestation length of the current pregnancy. An immunological explanation?
Bibliographic record
Abstract
Introduction . A number of epidemiological studies on various diseases have drawn attention to relationships between fetal life events, as measured by health indicators and pathological events later in life. This accounts for the renewed interest in fetal health indicators. The objective of this retrospective study is to investigate the relationship between the sex of conceptuses of the mother’s preceding pregnancies and the gestation length of the current pregnancy. Methods . A population of 7773 neonates were divided into cohorts, according to the sex of the current neonate and number and sex of the mother’s preceding pregnancies. Average gestation lengths for each cohort were measured and compared between different configurations of preceding pregnancies. Results . There a positive association between the length of gestation of the neonate and its mother’s preceding pregnancies of same sex as its own. Gestation length increases with the number of conceptuses of same sex among the preceding pregnancies. Likewise, there is a negative association between the length of gestation of the neonate and its mother’s preceding pregnancies of opposite sex to its own. Gestation length decreases with the number of conceptuses of opposite sex among the preceding pregnancies. Discussion . The results of our study are compatible with the immunological hypothesis, based on the sex-linked concepto-gravidic antigenic dissimilarity, proposed to explain the association between preceding pregnancy and fetal development. The influence of the preceding pregnancy is significant enough to be taken into account for effective management of current pregnancies as well as for efficient clinical trial analysis.
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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 | 0.002 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".