Bio-ecological features of some rare plants fruits in the Samara Region
Bibliographic record
Abstract
The paper presents some preliminary results of the monitoring of Fritillaria meleagroides Partin ex Schult. et Schult. fil. and Tulipa biebersteiniana Schult. et Schult. fil. plants (category of rare and endangered plant species). The results of the field study fulfilled in 20122016 in two population groups of quarter 80 and cenopopulation of quarter 69 in the Krasnosamarsky forestry (Samara Region) were used to determine morphometric parameters of plant species. The data also helped us to assess the variability level and to make a comparison with plant quantitative traits given in the literature. It has been found that the sample indicators fit into the range of values specified in literature sources, with a significant proportion of large fruit 2,03,0 cm in length. The dynamics of the fruit size of Fritillaria meleagroides Partin ex Schult. et Schult. fil. and Tulipa biebersteiniana Schult. et Schult. fil. plants in population groups of quarter 80, as a whole, has general patterns in the difference during some seasons of vegetation. Prevailing values of fruit length of plants in cenopopulations of quarter 69 changed slightly according to year of vegetation, these populations are more resistant and numerous comparing with the populations of quarter 80. As for variability of signs, the values of fruit length and width coefficients of variation does not exceed 25% for Fritillaria meleagroides Partin ex Schult. et Schult. fil. plants and 20% for Tulipa biebersteiniana Schult. et Schult. fil. plants which is optimal for this type of indicators and is consistent with the bioecological specificity of fruit plant. The conditions of ecosystems in 69 and 80 quarters of Krasnosamarsky forestry are favorable for the vegetation of two species plants, the successful preservation and restoration in natural communities can be in the absence of anthropogenic factors limits.
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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 | 0.001 |
| 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".