ESTUDO SOBRE USO DO SOLO DOS MUNICÍPIOS COMPONENTES DA APA DO RIBEIRÃO JOÃO LEITE – GOIÁS – BRASIL
Bibliographic record
Abstract
A Área de Proteção Ambiental (APA) do Ribeirão João Leite é localizada no estado de Goiás, Brasil, e se caracteriza como de suma importante para os municípios de seu entorno, uma vez que nela está localizada a bacia hidrográfica fonte de boa parte dos recursos hídricos da região. Dada a importância da APA e da bacia hidrográfica citada, sua preservação se faz importante para a sociedade local. Assim, este estudo se propõe a analisar o uso do solo local de 2013 a 2020 a fim de verificar se a preservação da área está de fato ocorrendo ou se há um avanço na degradação local. Para tanto utilizou-se a metodologia de classificação supervisionada do solo e, apesar dar limitações encontradas, foi possível observar uma diminuição da área de cobertura vegetal natural da área estudada.
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How this classification was reachedexpand
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.011 |
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; both teacher heads agree on what is shown here.
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".