Study on the response of leaf size traits in Hippophae tibetana Schlecht with precipitation and temperature
Bibliographic record
Abstract
To explore the relationship between leaf size traits and environmental factors,this paper analyze the leaf length,leaf width,leaf area and length-width ratio of Hippophae tibetana from 19 sampling sites in east of Qinghai-Tibet Pleatu,and collect the environmental factors(growing season average monthly precipitation and temperature)of sampling sites.The results show that the leaf length varies from 13.66 mm to 31.48 mm,leaf width varies from 2.42 mm to 5.24 mm,leaf area vary from 24.44mm2 to 119.26 and length-width ratio is 3.78 to 8.67.Leaf length,leaf width,leaf area are extremely significantly positive correlated to growth season average monthly precipitation,but significantly negative correlated to growing season average monthly temperature respectively.Leaf length-width ratios are significantly positive correlation with the growing season monthly precipitation and temperature.In addition,it shows that precipitation is the main environmental factor to control leaf size traits of Hippophae tibetanain growing season according to the coefficient.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".