Eficiência agronômica de dois resíduos orgânicos na revegetação do horizonte C de um Latossolo Vermelho
Bibliographic record
Abstract
Land incorporation of organic matter is a way to create edafic conditions to establish plants on spoils exposed by mining and building activities. This work aimed to measure the efficiency of two municipal organic residues (domestic sewage sludge and composted solid waste) to develop a grassy cover on a red Oxisol C-horizon exposed to surface by construction works. Application rates from 0 to 76 t ha-1 (dry solids) of these residues were plowed into the spoils of experimental blocks and the grassy cover development on them was monitored. Results indicated that sewage sludge was from 1.8 to 6.2 times more efficient than composted municipal solid waste to develop vegetative cover on the plots’ surface, since sewage sludge had a superior performance to raise spoil’s CEC and to supply N, P, K, Ca, and Zn to plants.
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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 | 0.001 | 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".