Analysis of Damage to Trees in the Coastal Mangrove Forest of East Lampung Regency
Why this work is in the frame
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Bibliographic record
Abstract
Mangrove forests must have health conditions to maintain forest functions and ensure benefits for the community's welfare and living creatures around them. Based on this, an evaluation of the health situation of the woodland is essential to ensure that the health situation of the mangrove forests is maintained. This research was conducted to assess and obtain data and information on the health of mangrove forests withinside the coastal regions of the East Lampung Regency. The levels on this look have been figuring out the measurement plot, making the forest health measurement plot, collecting data, identifying tree health, and analyzing forest health data. The results of the research that have been carried out show that of the 8 cluster plots that have been made, it was found that the dominant types of damage were open wounds, damaged leaves, shoots, and shoots, as well as broken/dead branches. Then, the locations of most damage were found in sprouts and shoots, branches, lower stems, leaves, and the tops and bottoms of stems. The average forest health condition within the coastal location of East Lampung Regency is within the medium class with a median NKH fee of 5,29. This indicates that the mangrove forests are correctly applied and controlled via way of the encompassing communities, especially those who depend on these mangrove forests. So far, the government and the community have worked together to conserve mangrove forests.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it