Incorporation and Evaluation of a River Water Quality Model to NAPRA WWW Decision Support System
Bibliographic record
Abstract
The spatial variability of the saturated hydraulic conductivity (Ks ) of a greenhousebanana plantation volcanic soil was investigated with three different permeameters: a) thePhilip-Dunne field permeameter, an easy to implement and low cost device; b) the Guelph fieldpermeameter; and c) the constant-head lab permeameter. Ks was measured on a 14x5 array of2.5mx5m rectangles at 15 cm depth using the above three methods. In the case of the labpermeameter a sinusoidal spatial variation of Ks was coincident with the underlying alignment ofbanana plants on the field. To discard the possibility of an artifact the original 70 point mesh wasdoubled by intercalation of a second 14x5 grid, such that the lab Ks was finally determined on a140 points 2.5x2.5 square grid. Far from diluting such anisotropy this was further strengthenafter inclusion of the new 70 points. The porosity determined on the same lab cores shows asimilar sigmoidal trend, thus pointing towards a plausible explanation for such variability. In factboth parameters follow a power-law relation of the form Ks=a*porosity^b (R=0.62) as stated byArchie's law. Although the two-field methods: Guelph and Philip-Dunne, also follow a similaralignment trend this is not so evident, suggesting that additional factors affect Ks measured inthe field. Finally geostatistical techniques are used to further investigate this spatialdependence. A log-transformation was found to be both a symmetrizing and variance stabilizingtransformation of the Ks data.
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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 | 0.003 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".