Morphological variations of <i>Thymus</i> in the vegetation belts of the Tien Shan mountains (Central Asia)
Bibliographic record
Abstract
This study demonstrated the correlation between Thymus life-forms and conditions in the Tien Shan mountains, in which different vegetation belts can be located at different altitudes depending on a particular ridge. We selected four species of Thymus that are widespread in Tien Shan mountains (Thymus diminutus Klokov, Thymus dmitrievae Gamajun, Thymus karatavicus Dmitrieva, and Thymus seravschanicus Klokov). Eco-morphological and phytocenotic approaches were used to study the life-forms and biomorphs within the genus Thymus in this region. The module structure and sympodial axis were analyzed according to the slope steepness and stone and (or) herbaceous covering. Acrotonic and basitonic module branching types are characteristics of dwarf shrub and dwarf subshrub life-forms, respectively. The dwarf shrub develops in open spaces in the steppe and forest, and the dwarf subshrub develops in different vegetation belts from steppe to alpine. Thymus dwarf shrub and dwarf subshrub life-forms were characterized by an implicitly polycentric biomorph type (mature plant comprising several closely located growth centers). Thymus species in the Tien Shan mountains exhibited morphological variability. We propose that the branching of Thymus plants can be used as an indicator of a specific vegetation belt in the Tien Shan mountains, and can be used to predict the behavior of other species with similar morphology.
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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 | 0.000 | 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) | 0.001 | 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".