The effectiveness of Ovaprim with different concentrations on the duration of spawning and hatching power of goldfish eggs (Carassius auratus)
Bibliographic record
Abstract
This study aims to analyze the effectiveness of Ovaprim at various concentrations on spawning time, fertilization rate, and egg hatchability of goldfish. This study uses an experimental method with a Completely Randomized Design (CRD) consisting of four treatments: P1 (control/0 ml/kg), P2 (0.2 ml/kg), P3 (0.3 ml/kg), and P4 (0.4 ml/kg)/of fish body weight. Each treatment was repeated three times. The observed parameters in this study include spawning time, fertilization rate, and egg hatchability. The obtained data were analyzed using ANOVA and followed by Duncan's multiple range test to determine significant differences between treatments. The research results show that the use of Ovaprim at different concentrations has a significant effect on spawning time, fertilization rate, and hatching rate. The 0.4 ml/kg dose provided the best results, with the fastest spawning time of 10 hours and 3 minutes, a fertilization rate of 88.67%, and the highest hatching rate, reaching 93.30%. Thus, a dose of 0.4 ml/kg is recommended as the optimal dose to improve the spawning efficiency of goldfish in aquaculture. Keywords: Carassius auratus; Hatchability; Ovaprim; Reproductive Hormone; Spawning
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".