ANALISIS KESESUAIAN EKOWISATA MANGROVE DESA KAHYAPU PULAU ENGGANO
Bibliographic record
Abstract
The purpose of this study was to identify the potential of mangrove ecosystems as mangrove ecotourism objects and calculate suitability mangrove ecotourism in the village Kahyapu Enggano . This research was conducted using survey methods, measurements in the field and ecological suitability determination based on the multiplication of weights and scores obtained from any of the parameters consisting of five parameters: the thickness of the mangrove , mangrove density , types of mangrove , tidal and biota object . Mangrove ecosystem in the Village Kahyapu Enggano has the potential to be developed as an ecotourism mangrove . Based on the results, the results of IKW ( Travel Suitability Index ) at the stations I 60 % category S2 (Match ) , Station II 66 % category S2 (Match ) and Station III 71 % category S2 (Match ).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".