A water supply function in form of Weibull distribution
Why this work is in the frame
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Bibliographic record
Abstract
Based on the relationships among water potential productivity, water potential use efficiency and water supply condition, this presentation represents a new water supply function in the form of Weibull distribution. The function is of such sophisticated characteristics that can be used to model the relationship between crop-water supply modified function and water supplement and is wildly used in relevant studies. The function as well as its parameters are described and analyzed in detail. The position parameter, x_0, represents the threshold of water supplement and the scale parameter, A, is depend upon the range of the value of water supplement. Moreover, the shape parameter, B, is also known as the slope, which determines the kurtosis and the skew of the curve described by the function. Different values of the parameters can have marked effects on the behavior of the distribution. It is suggest that one can obtain all parameters by using maximum likelihood method or by empirical study. These parameters are of obvious physical and biological meanings and hence, of better effect in practice.
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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 | 0.000 | 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) | 0.002 | 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