Aspects of biology of Atya gabonensis (Giebel, 1875) (Crustacea: Decapoda: Natantia) at the confluence of river Niger and Benue, Ganaja, Kogi State, Nigeria
Bibliographic record
Abstract
Aspects of biology of Gabon prawn, Atya gabonensis (Giebel, 1875) was investigated in the confluence of River Niger and Benue, North-Central Nigeria. A total of 2,175 specimens were collected from January to December, 2017 by fishermen using combination of gears (drag nets, set traps and traditional gear known as “Ahina”) and transported in icebox containing water to the laboratory for further studies. No specimen was found during the peak of the rainy season (July to October). The highest number was collected in February and the lowest number was found in December. Higher mean values were recorded in males for all morphometric features. Negative allometry was observed in females, males and combined sexes with very strong correlation (r=0.95, 0.97 and 0.96, respectively). The mean Condition Factor was 2.29±0.04 in females and 2.42±0.04 in males. The highest percentage of moulting was in February (73.33%) and lowest (8.00%) in June. Males showed superiority in size than females in all the morphometric parameters. Sex ratio revealed higher number of males to female. Mean fecundity was 9,575±515. Mean egg size was 0.46±0.01mm and mean GSI was 0.33±0.01. Egg developmental studies revealed 25% of ovigerous females in stage 1; 12.5% in stage 2; 25% in stage 3; 29.17% in stage 4 and 8.33% in stage 5. Despite the abundance of A. gabonensis at Ganaja, it is yet to be fully exploited by the local fishermen. A. gabonensis is recommended as excellent candidate for aquaculture and Ganaja is recommended for collection of broodstock at the onset of rainy season. All male production of this species is also recommended to be more advantageous than female
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".