Método para avaliação da susceptibilidade da vegetação do Cerrado ao fogo em relação a indicadores antrópicos
Bibliographic record
Abstract
At the present, the Cerrado (Brazilian savannas) is burned on about 20 to 30% of its area during the dry season mainly owing to anthropic causes. This work studied the susceptibility of the Cerrado vegetation to fire with respect to parameters linked to the anthropic activity. Location data for the fire spots obtained from the AVHRR/NOAA-12 channel 3 (3,7 mm) were used as field truth. The study period was between May and October 1998. The distance between the fire spots and two indicators of anthropic activity was analyzed. The indicators were: roads and fire spots previously occurred. About a quarter of the fire spots occurred at up to 10 km from the roads and the fire spots of the previous day. The results indicated that the more next to indicators more fires occurred. In conclusion, the indicators of anthropic activity analyzed here area good tools for studying the vegetation susceptibility to fire.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".