Estimation of growth parameters and mortality rate of Upeneus sulphureus (Cuvier, 1829) in the Persian Gulf ecosystem
Bibliographic record
Abstract
Population parameters were estimated for goatfish (Upeneus sulphureus, Cuvier, 1829) as a small size and abundant species in the Persian Gulf ecosystem. A method of Tropfish R package based on length frequencies analysis was used. A total of 520 fish samples were taken monthly from landing stations in the coastal area of Iranian Waters in the Persian Gulf (Bushehr coasts) from January 2017 to December 2018. The length (FL) of the captured fishes varied from 8.5 to 17 cm with an average (±SD) of 11.20 (±2.24) cm.The values of the von Bertalanffy growth function fit length frequency data for U. sulphureus (combined sex) were estimated, as k = 1.2 per year, L∞ =19.43 cm (LF). Total, natural and fishing mortality calculated, as Z=3.74 per year, M=2.21 per year and F=1.53 per year, respectively. The exploitation ratio (E) was estimated at 0.4.The length-weight relationships of both sexes was estimated as, Log = -1.707+3.00 log (r = 0.92) which exhibited positive isometric growth. According to results, it could be concluded that goatfish (Upeneus sulphreus) is a relatively fast-growing and short-lived species. Although this species is not a direct target of fishermen, its ecological role in the Persian Gulf's food web due to their high abundance and high growth rate is undeniable.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.000 | 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 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".