Bioclimatic Modeling of Phlomoides Kirghisorum (Lamiaceae) Species Distributed in Fergana Valley
Bibliographic record
Abstract
The article analyzes the natural distribution area of the species Phlomoides kirghisorum Adylov, Kamelin & Makhmedov using the programs of type MaxEnt and ArcGis, the endemic of Central Asia (past, future). According to the results of the study, it is proved that the main distribution of the species coincides with the boundaries of the areali Tien–Shan mountain system (Uzbekistan, Kyrgyzstan, Kazakhstan). It is noted that the climatic factors that are optimal for the species are sufficient temperature and annual precipitation. According to both scenarios, it was found that the increase in temperature by 0.4–1.6 °C and 1.4–2.6 °C was directly influenced by the main bioclimatic factors such as Mean temperature of coldest quarter (Bio11), Precipitation seasonality (Bio15).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".