The influence of CCN family proteins on ovarian physiology and pathology
Bibliographic record
Abstract
The CCN family of proteins is comprised of six matricellular proteins known to regulate multiple cellular processes such as adhesion, proliferation, differentiation, and apoptosis. CCN proteins are known to function through the binding of integrin receptors and through the regulation of growth factors and cytokines in the context of cardiovascular and skeletal development, injury repair, fibrosis, inflammation and cancer. The expression and roles of several CCNs, particularly CCN1 and CCN2, have been investigated in the ovary as they are effectors of the Hippo signaling pathway, and their role in the development of ovarian fibrosis has been described. Here we review the patterns of expression of CCN1-6 in the ovarian follicle, and the role of CCN2 in follicle development and steroidogenesis, and the expression and potential actions of CCN1-6 in ovarian cancers. We highlight the roles CCNs may play in inflammatory processes, and put forth a case for CCN involvement in the process of ovulation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".