KONDISI TERUMBU KARANG DAN KOMUNITAS IKAN PADA AREA PENCADANGAN KAWASAN KONSERVASI DAERAH (KKD) WATUPUTE, KABUPATEN KOLAKA UTARA
Bibliographic record
Abstract
Data and information about the coral reefs' condition and fish are essential in planning a marine protected area (MPA). This study aims to provide an overview of the condition of coral reefs and the community structure of reef fish in terms of species distribution, density, and biomass in the Watupute waters – Kolaka Regency. The Point Intercept Transect is used to collect data on the condition of coral reefs and the underwater visual census for observing reef fish communities. The condition of the corals in the Watupute reserve area is generally moderate. Regarding the presence of reef fish communities, areas with higher live coral cover had higher density, number of species, size, and biomass. This area is reasonable to be recommended as a core zone in the design of MPA zonation.Keywords: coral reef, reef fish, marine protected area
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".