Determination Of Plant Available Soil Water Storage In Agricultural Land Of The Nitra River Catchment
Bibliographic record
Abstract
Abstract Soil water storage and its spatial pattern is one of the biggest tasks in agricultural field of study. Correct spatial interpretation and quantification of soil water storage are considered crucial for correct hydrological zonation of agricultural lands. This paper is focused on determination of amount of plants available soil water in the Nitra River Catchment in 2013. Available soil water storage was computed for each quarter of the year (I.–IV.; V.–VIII.; IX.–XII.) for 60 cm soil horizon. Amount of available water was determined as a difference between actual soil moisture and hydrolimits of water availability. Actual soil moisture was interpolated from point’s values from net of hydrological stations in the Nitra River Catchment. Limited water availability was calculated by retention curves from soil samples taken in the Catchment. Available soil water storage was the highest in the first quarter (36.74 mm). In the second quarter, it decreased to 26.93 mm and in the third quarter it was only 4.11 mm. In the fourth quarter, it increased to 30.13 mm.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".