Analysis of Chlorophyll-a and Sea Surface Temperature (SST) Distribution in the Waters of Karang Jeruk, Tegal Regency based on Geographic Information System (GIS)
Bibliographic record
Abstract
This study maps the distribution of chlorophyll-a and sea surface temperature (SST) in Karang Jeruk Waters, Tegal Regency, using Geographic Information System (GIS) with satellite data from JAXA Himawari and NOAA GFS. The mapping results on February 13, 2025, show chlorophyll-a concentrations ranging from 0.01 to 0.12 mg/m³ and SST between 25-27°C, supporting phytoplankton life and primary productivity. Water quality parameters such as salinity, temperature, pH, and clarity fall within acceptable standards, indicating that the coral reef ecosystem in this conservation area is relatively healthy. This research is expected to serve as a foundation for sustainable ecosystem management in Karang Jeruk Waters.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".