Nutrient Cycling of Cover Crops in an Amazonian Ecosystem
Bibliographic record
Abstract
Cover crops act to improve the chemical and physical quality of the soil and provide sustainability in agricultural systems. Studying the decomposition of these cover crops is key to understand the process of nutrient cycling in cultivation. The purpose of the study was to assess the decomposition and release of nutrients from cover crops in an Amazonian ecosystem. The experiment was conducted in a commercial guarana plantation area at farm Agropecuária Jayoro in Presidente Figueiredo-AM in two agricultural years (2018 and 2019), with a randomized block experimental design following a 4 × 4 factorial scheme, with four cover species (Arachis pintoi, Brachiaria ruziziensis, Canavalia ensiformis and Mucuna deeringiana) and four assessment periods (0, 60, 120, 180 days). The cover crops showed a high rate of decomposition of residues in the two years assessed. The legumes presented high initial nutrient contents. The release of N, P, Ca, and Mg was slower. K showed a rapid release from the decomposition of the residues of the assessed cover crops.
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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 | 0.000 | 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 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".