Relative condition factor, length-weight relationship and sex ratio of copper mahseer, Neolissochilus hexagonolepis (McClelland, 1839) from Tamor River, Nepal
Bibliographic record
Abstract
The present investigation was carried out for establishing the length weight relationship and to enumerate the relative condition factor and the sex ratio of Neolissochilus hexagonolepis from Tamor River, Nepal. Altogether 198 fishes were investigated from December 2014 till the end of November 2016. The sex ratio of the fish was found to be in the ratio of 1:1.2 with female dominating the catch for most parts of the year. Analysis of t-test showed a highly significant relationship (p˂0.05) between length and weight for male, female and sexes pooled. The fish was found to show isometric growth pattern with exponential value (b) equal to 2.962 for sexes pooled. The mean value of Fulton's condition factor (K) for sexes pooled was found to be 1.29 ± 0.49 giving the indication that the general well being of the fish was good. Sudden increase in the value of relative condition factor (Kn) in the size group 30-33 cm in male and 42-45 cm in female indicated their length range during which they showed the sign of maturation for the first time. Steep fall in the value of 'Kn' in size groups 33-36 cm onwards in male and 45-48 cm in female indicated their length range at spent phase.
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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 | 0.000 | 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) | 0.002 | 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".