Bibliographic record
Abstract
Surface frost is a permanent natural hazard that affects almost all areas in Jordan. Daily grass minimum temperatures at seven stations representing the three geographic zones (the Jordan Valley, mountains, and desert) in the country were used to carry out the analysis. A set of years ranging from 68 (for Amman Airport) to 24 years was used in this investigation. Data were tested for normality using a variety of robust statistical procedures. The main objective of the present study is to describe the stochastic nature of frost at these stations. Early and late frost and number of frost-free days were extracted in this investigation. Frost in Jordan occurs as early as the beginning of October, and late frost can last until May or even as late as June, as is the case in the southern mountains. The probability of early and late dates of frost is presented for the various stations. Compensation provided by the government should take into account the probability of frost hazard before / after the date of occur...
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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) | 0.003 | 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".