Bibliographic record
Abstract
This study explores the mechanisms of environmental adaptability and reproductive stability of tilapia, analyzes the biological basis of its gonad development and sex differentiation, and provides a theoretical basis for optimizing sex regulation strategies and improving aquaculture benefits. Based on pre-gonadal transcriptomic analysis, this study identified core regulatory genes such as Dmrt1 , Cyp19a1a and Foxl2 , as well as gender-specific RNA expression profiles that affect steroid synthesis and gamete formation. The study revealed the core signaling pathways of gonadal maturation, including the TGF-β/Wnt network for testis development and the BMP cascade reaction for ovarian differentiation. Through the localization of the interaction network and the analysis of the expression trend, the gene synergy mechanism guiding the development of gonads was clarified. This study systematically evaluated the practical value of early gender identification, molecular marker application, and targeted gene editing technologies. By combining the existing technical bottlenecks with future breakthrough directions, a multi-dimensional theoretical framework was constructed for improving the gender control system in tilapia farming.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.000 |
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".