Minimum age for clear-cutting native species with energetic potential in the Brazilian semi-arid region
Bibliographic record
Abstract
What is the minimum age for clear-cutting native species with energetic potential in the Brazilian semi-arid region? This was the central question of this study, which aimed at estimating the minimum cutting cycle for native woody species from an area covered by a sustainable forest management plan. Individuals (n = 240) of 12 species native to the semi-arid region were measured, and wood discs were taken from them to collect data relative to (i) volume, by an industrial 3D scanner, (ii) density, using a high-frequency densitometer, (iii) age, by a growth ring measuring device, and (iv) the lower heating value, by an oxygen bomb calorimeter and an elemental analyzer. Data were fitted to mathematical models by regression analysis to determine the relationship and significance between the variables analyzed. The estimated minimum age for the harvesting of native woody species was 47 years, determined by the age at which there was stabilization of volume growth curves over time and an increase in density and heating power (wood retraction).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".