Predicting the potential geographic distribution of Nepeta septemcrenata Benth. and Phlomis aurea Decne in St. Katherine protectorate, South Sinai, Egypt, by using the maxent technique
Bibliographic record
Abstract
The threatened and endangered species distribution data are frequently clustered, and modeling their suitable habitat distribution by commonly utilized modeling methods is difficult. Therefore, this work aimed to assess the potential geographic distribution of Nepeta septemcrenata and Phlomis aurea in the St. Katherine protectorate using a new maxent approach. In addition to identifying the principal environmental parameters, which highly affect the potential geographic distribution of Nepeta septemcrenata and Phlomis aurea in the St. Katherine protectorate. The findings presented that the assessment distribution of Nepeta septemcrenata and Phlomis aurea is concentrated in the high-mountain region in SKP. While the driest quarter's precipitation, the coldest quarter's precipitation, the warmest quarter's mean temperature, the coldest quarter's mean temperature, and elevation all had a role in Nepeta septemcrenata distribution. The coldest quarter's mean temperature, the driest quarter's mean temperature, precipitation seasonality, the warmest quarter's mean temperature, all had a role in the distribution of P. aurea. Additionally, the highly suitable ecological conditions for Nepeta septemcrenata cover about 200.5 km2 from the total protectorate area, while the highly suitable ecological conditions for Phlomis aurea cover only 104.1 km2. This work may help in conservation planning for these threatened and endemic species.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".