A Survey of Sclater‘s Guenon in Ikot Uso Akpan Community Forest, Itu, Nigeria
Bibliographic record
Abstract
The study assessed the population of Sclater's guenon in Ikot Uso Akpan community forest. Line transect method with its census protocol was adopted for the survey. Data obtained were analyzed using descriptive statistics, means, and frequency. The result shows that all the parameters measured across the two season showed no significant difference (p < 0.05) except for the differences in the sighting distances between the dry and rainy season which was observed to be significantly different (p < 0.05). The species had a mean encounter rate of 1.18km -1 , cluster/group density of 16.86±0.99km -1 , individual density of 82±2.64km -1 , population density of 57.40±1.85km -1 , Biomass density of 266.5±8.58kg/km 2 , and a population mass of 190.35±9.81kg. Habitat degradation in the area is severe and negatively impact on the population structure of the primate species in the study area resulting in an ageing population. Adequate measures are urgently needed to restore and conserved the forest fragment to ensure the survival of the endemic primate species in the study area.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".