A sex‐reversing factor: insulin‐like androgenic gland hormone in decapods
Bibliographic record
Abstract
Abstract A large number of decapod crustaceans with sexual dimorphism in body size, most of which, are important economic animals. Besides, some of them such as the red swamp crayfish Procambarus clarkii possess strong invasive ability and would damage ecosystem environment. Thereby, monosex culture of decapods would contribute to not only increasing yield and profits, but also reducing the risks of biological invasion. Insulin‐like androgenic gland hormone was reported to be a key regulator in sex differentiation. All‐male populations in Macrobrachium rosenbergii were successfully produced through insulin‐like androgenic gland hormone manipulation. In addition to sex differentiation, insulin‐like androgenic gland hormone was reported to be involved in male secondary sex characteristics maintenance, growth, metabolism, morphology change, ovary development and other functions. Considering its important application value for decapods, insulin‐like androgenic gland hormone has attracted much attention in recent years. This hormone was reported to have the structure and function similar to androgenic gland hormone of isopods. In this study, the origin of name of androgenic gland hormone and insulin‐like androgenic gland hormone was investigated, and the recent research on structure, function, application and molecular regulation mechanism of insulin‐like androgenic gland hormone of decapods was reviewed.
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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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".