Aplicação do modelo de distribuição potencial de Platypodium elegans Vogel na delimitação das Florestas Estacionais na Mata Atlântica
Bibliographic record
Abstract
The purpose was evaluate the efficiency the distribuition model of Platypodium elegans Vogel in the mapping of seasonal forests in Atlantic Forest, we elaborate in an area, between the parallels 15o06'' and 20o55'' south and the meridians 35o03'' and 42o57'' Wgr, the model of the distribution this specie for subsequent inference to the Atlantic Forest biome. In this procedure, we used the following environmental layers: altimetry, slope, aspect, annual precipitation, precipitation of driest month, precipitation of wettest quarter and 24 points naturally occurring this specie. The results were evaluated from AUC 0.77± 0.07 and comparing the occurrence map of the specie (model) with the distribution of seasonal forest, in Paranapanema chart. The distribuition model of Platypodium elegans Vogel predicted 56% of the area mapped as seasonal forest, that denotes the acceptable efficiency of model to predict the naturally occurring areas this forest type.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".