Changes in Circulating Relaxin Levels during Pregnancy and Early Lactation in Japanese Monkeys (Macaca fuscata fuscata).
Bibliographic record
Abstract
Changes in relaxin concentrations in plasma throughout pregnancy and early lactation up to one month after parturition were characterized in 10 Japanese monkeys by a heterologous radioimmunoassay (RIA) based on the porcine RIA. Plasma levels of LH/monkey chorionic gonadotropin (mCG), estradiol-17β, progesterone and immunoreactive (ir-) inhibin were also monitored for the entire period. Relaxin levels in the plasma were low before conception. An accelerated rise in plasma relaxin levels was found during pregnancy. The first increase was noted during early pregnancy, with a peak (267.5 ± 50.5 pg/ml) at Day 31 ± 2.4 of pregnancy (Day 0= day of LH surge). The second increase was noted just before term with a peak (235.6 ± 37.5 pg/ml). After parturition, relaxin levels in the plasma abruptly declined but were maintained at approximately 100 ng/ml during early lactation. The first rise in plasma relaxin during pregnancy was in parallel with rises of mCG and progesterone, and the second rises was well correlated with those of plasma estradiol-17β ,progesterone and ir-inhibin. These results suggest that the major source of relaxin is corpus luteum and placenta during pregnancy in Japanese monkeys.
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.
How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".