Annual changes in testicular activity and plasma steroid hormones in the golden rabbitfish Siganus guttatus (Bloch)
Bibliographic record
Abstract
Characteristics in annual reproductive activity of the male golden rabbitfish, Siganus guttatus, were examined by observing testicular histology and measuring plasma levels of steroid hormones, testosterone (T), 11-ketotestosterone (11-KT), and 17α, 20β-dihydroxy-4-pregnen-3-one (DHP) by enzyme immunoassay (EIA). The testicular development was divided into four periods: immature (November-March); pre-spawning (April-May); spawning (June-July); and post-spawning (August-October). The immature period was associated with low gonadosomatic index (GSI) values, and the testicular lobules were exclusively occupied by spermatogonia. In the pre-spawning period the testes were characterized by a new generation of spermatogenic cells. Spermatozoa appeared in some testes at the beginning of that period, and became dominant in the testes and the sperm duct in the spawning period. In the post-spawning period, only spermatogonia were observed in the testis, but residual spermatozoa were still observed in the seminal lobules and the sperm duct. Plasma T, 11-KT and DHP levels simultaneously increased during the pre-spawning period, rose markedly at the spawning period, and remained low from the post-spawning to immature periods, suggesting that these changes apparently were related to the annual testicular activity in S. guttatus.
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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".