Nanoparticles and nanostructure morphology of a Red Latosol in rehabilitation
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT In the process of rehabilitation of a soil, two points are fundamental: to define optimal interferences to accelerate the rehabilitation process and the most appropriate indicators to diagnose its quality. Therefore, this study aimed to investigate the nanoparticle and nanostructure morphology of a Red Latosol in rehabilitation for eight years. The soil under rehabilitation process was compared with its natural state and degraded. In the topsoil, nanoparticles (ø < 100 nm) and fine clay (ø < 200 nm) were quantified and the nanostructures morphology was studied using images obtained by transmission electron microscopy. Soil porosity, bulk density and carbon, nitrogen and hydrogen contents were analyzed. It was found that the nanoparticles and nanostructure morphology were good soil quality indicators; the physical and chemical attributes were not sensitive to detect alterations between the conditions of degraded soil and soil rehabilitated for eight years; in the class of particles with diameter smaller than 200 nm, for the studied Red Latosol, the visualization of nanostructures is more effective.
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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) | 0.000 | 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