Follicle selection in domestic ruminants
Bibliographic record
Abstract
Ultrasound imaging has shown that cattle exhibit 2 or 3 waves of follicular development during an oestrous cycle. The waves consist of the contemporaneous appearance, about every 7 days, of a group of follicles > 5 mm in diameter. One follicle gradually becomes larger than the rest (i.e. dominant). There are several lines of evidence suggesting that the waves occur regularly under conditions of basal LH and FSH. (1) Cycles with 3 waves of follicular development are longer and have longer luteal phases than do cycles with 2 waves, indicating that the number of waves in a cycle is determined by the time of luteal regression. (2) Cycles with 4 or 5 waves of follicular development can occur when the luteal phase is artificially prolonged with exogenous progesterone. (3) Waves of follicular development occur during pregnancy. However, the secondary surge of FSH may be important in initiating new follicular recruitment after ovulation, since suppression of the secondary surge delays the first wave of follicular development. Follicles are functionally dominant (capable of ovulating after luteal regression) while they are still growing and early during their plateau in growth. Functional dominance is lost some time between the early and late plateau phases, while the follicle is still morphologically dominant (i.e. the largest follicle). The factors that lead to dominance of one follicle and the mechanisms that suppress the growth of subordinate follicles are not well understood. When the luteal phase is artificially extended with low doses of exogenous progesterone, the normal pattern of follicular development is altered and the ovulatory follicle grows for a prolonged period of time. This finding indicates that subtle changes in the hormonal milieu can dramatically alter follicular dynamics and that the experimental model of prolonged dominance may be useful in studying the mechanisms of follicular dominance.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 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".