Trends in the Minimum Temperature and Number of Frost Events in the North-Eastern Badia of Jordan during the Period 1980–2010
Bibliographic record
Abstract
The aims of this study are to examine and clarify the general trends in minimum temperature, number of frost days, and severity of frost in the north-eastern Badia region of Jordan between 1980 and 2010. Representative meteorological stations were selected to analyze the climatic factors in the study area, using statistical analysis approaches such as CUSUM charts, moving averages, linear regression, and t-tests. Linear regression trends showed a slight increase in minimum temperature in both locations during the study period. The t-tests show increases in the average values of the tested climatic variables, with a significant trend for Safawi station at the 95 % confidence level. The study also found a remarkable decrease in the number of frost days and an increase in the severity of frost at both stations, but these findings are not statistically significant at the 95 % confidence level.
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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 | 0.001 | 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 | 0.000 |
| 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".