Biological studies on the commercial juvenile fish of the eastern coast of Libya.
Bibliographic record
Abstract
The structures of juvenile commercial fish in the shallow water of eastern coast of Libya, Mediterranean Sea were investigated. Size composition, fish abundance, length frequency distribution, length-weight relationships, condition factors and food habits of the most common species were studied. Lithognathus mormyrus juvenile dominated the catch from February till December and the recruitment appeared in February, November, and December. Liza carinata and Diplodus annularis appeared from April until November and the recruitment showed in April, Liza ramada was recorded from April till August and recruitment were in April. Salpa sarpa appeared from March till November and recruitment appeared from March till June, Lichia amia appeared from April till December and recruitment appeared in June. All the species illustrated significant Length-weight relationships with high correlation coefficients indicating isometric growth.The condition factors of Lithognathus mormyrus, Liza ramada, Lichia amia were similar, increasing as the size increased. The monthly variation in conditions was influenced by feeding activities. The highest values of condition factors appeared in autumn for all the species reached the maximum values by the end of spring except Liza ramada where the highest values were shown at the end of summer. The feeding intensity was higher and food habits were varied.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".