Characterization and Classification of Halomorphic Soils in the Semiarid Region of Northeastern Brazil
Bibliographic record
Abstract
The properties of halomorphic soils are controlled by the presence of either soluble salts, exchangeable sodium or both, and it is important to know and understand these properties in order to reforest and/or recover the soils. The objective of this study was to characterize and classify halomorphic soils from the semiarid region of Northeast Brazil. Four profiles of halomorphic soils were studied, which were described morphologically and the samples were collected from all soil horizons. Physical and chemical analyzes of the soils were carried out for classification purposes, as well as geochemical speciation of the soluble salts. According to the results, P1 and P3 were classified as Fluvisols, and P2 and P4 as Cambisols. It was observed that the studied soil profiles have the predominance of fine particles, which prevents the leaching and subsequent removal of salts from the soil profile. Soils presented high levels of exchangeable sodium, characterizing them as sodium solids throughout the profile. Ionic speciation analysis indicated the predominance of free forms of Ca2+, Mg2+, Na+ and K+, HCO3-, Cl- and SO42- and combinations of calcium, magnesium and sodium chloride and sulfate salts. Thus, it was possible to conclude that the studied halomorphic soils presented high levels of degradation by salts and sodium and that these types of soils are strongly related to the Fluvisols and Cambisols.
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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 | 0.002 | 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 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".