Nutrient Cycling of Cover Crops in an Amazonian Ecosystem
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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