Impacts of Forest-Agriculture Conversion on Soil Physical-Water Attributes in Amazon Basin, Southeastern Brazil
Why this work is in the frame
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Bibliographic record
Abstract
Several studies have shown that negative changes in physical attributes affect root growth and plant development. Thus, the objective of this work was to evaluate the impacts of forest-agricultural conversion on the physical-water attributes of the soil in the Amazon basin, southeastern Brazil. The study was carried out in Canutama - AM, in which areas of annatto, cupuaçu and guarana cultivation and a forest area were selected. Meshes of 90 m x 70 m, 90 m x 56 m and 54 m x 42 m were established, comprising 80 sampling points per layer. The points were georeferenced and the undisturbed soil samples were collected in volumetric rings to determine the physical and hydric attributes. data were submitted to descriptive statistics and multivariate analysis. It was observed that aspects such as the implementation time of the different use and occupation systems can be controlling factors for the restoration of these physical properties.
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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 | 0.001 |
| 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 it