Using Mann Kendal and t-test methods in identifying trends of climatic elements: A case study of northern parts of Iran
Why this work is in the frame
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Bibliographic record
Abstract
The main objective of the present research is to examine trends change in climatic elements in the north of Iran. The daily data of minimum and maximum temperatures and precipitation of 6 stations of the area under study are retrieved from Iranian meteorological organization and the are used to calculate other parameters such as average and range of temperature in seasonal and annual scale. Then, Mann Kendal and T-test methods are used for cal-culating the change in aforementioned climatic parameters on seasonal and annual scale. The results of the research indicate a meaningful increasing trend in minimum, maximum and mean temperature and a meaningful decreasing trend in temperature range. Precipitation on seasonal and annual scale do not have significant trends.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it