Ovulation‐inducing factor (<scp>OIF</scp>/<scp>NGF</scp>) in seminal plasma: a review and update
Bibliographic record
Abstract
The ovulation-inducing effect of seminal plasma was first reported in Bactrian camels over 30 years ago, and the entity responsible was dubbed 'ovulation-inducing factor' (OIF). More recent studies, primarily in llamas and alpacas, characterized the biological and chemical properties of OIF and ultimately identified it as βNGF. This recent discovery has allowed a convergence of knowledge previously separated by discipline and by mechanism; that is, neurobiology and reproductive biology, and autocrine/paracrine vs endocrine. To preserve this link, we have referred to the seminal factor as OIF/NGF. As a highly conserved protein, the implications of discoveries related to OIF/NGF in reproductive tissues extend beyond the camelid species, and results of recent studies show that the presence and function of OIF/NGF in seminal plasma are conserved among species considered to be induced ovulators as well as those considered to be spontaneous ovulators. The abundance of OIF/NGF in seminal plasma and the effects of seminal plasma on ovarian function strongly support the idea of an endocrine mode of action (i.e. systemic distribution with distant target tissues). This review is intended to provide an update on the progress in our understanding of the nature of OIF/NGF in seminal plasma and its effects on reproductive function in the female, including the effects of dose and route of administration, evidence for ovarian effects in other species, tissue sources of OIF/NGF and early findings related to the mechanism of action of OIF.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".