Some Biometric Parameters of Four Selected Fish Species in Doma Dam, Nasarawa State, Nigeria
Bibliographic record
Abstract
This study was designed to investigate the biometric parameter of some selected fish from doma dam, Nassarawa State. Samples of Hydrocynus breves, Alestes dentex , Hydrocynus forskali , and Brycinus leuciscus were collected from landing sites and the corresponding morphometric measurement and meristic count were recorded Results reveals significant differences in twelve of thirteen morphometric parameters considered in the four fish species from the dam. The most influential morphometric variables for discrimination these species using the 1st DF were the predorsal distance, body depth, standard length and eye diameter, while anal fin ray, caudal fin ray and pelvic fin ray constituted the most influential meristic variable for discrimination of the groups. Plots of canonical discriminant functions 1 of the morphometric measurements in this study clearly showed a complete overlap between H. breves and H. foskali and a partial overlap with A. dentex but separate however from B. leuciscus . Meristic plots of canonical discriminant functions 1 however shows overlap of A. dentex , B. leuciscus and H. breves and completely separation from H. foskali .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".