Biodiversity Assessment and its Effect on theEnvironment of Shakarparian Forest
Bibliographic record
Abstract
Shakarparian is known for its scenic beauty and wilderness and has a significant recreational value. It is a part of Margalla Hills National Park (MHNP), Islamabad and can be a good recourse to conduct various environmental studies. This study was aimed to explore the overall biodiversity of Shakarparian forest in terms of flora and its associated fauna. Phytosociological survey was carried out in order to identify the existing plant communities. The plant associations were then correlated to the existing fauna of the area. The results will provide the baseline data to support further studies on biodiversity analysis of ecologically rich natural recourse base of our country. A total of 155 Animal species have been observed in the study area. Out of these species 23 species of Mammals, 104 of Birds, 22 of Reptiles and 6 species of Amphibians have been recorded. The dominating plant species of the zone are Cassia fistula, Carrisa apeca, and Lantana camara.
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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 | 0.001 |
| 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 | 0.001 | 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".