The Distribution, Habitat Characteristics, and Bioenergy Potential of Sargassum sp. in Indonesia
Bibliographic record
Abstract
Sargassum sp. is a brown macroalgae that has a habitat in tropical marine environments, including Indonesia.Sargassum sp.contains carbohydrate, alginate and bioactive compounds that have the potential to be used for bioenergy.The purpose of this study is to analyze water data to identify conditions suitable for the growth of Sargassum sp. and to pinpoint existing growth locations.The method of this activity is a descriptive method by reviewing articles and references related to the potential of Sargassum sp. and the location of growth points.The result of the study is the potential of Sargassum sp.found in Sumatera, in Lhok Bubon, Simeulue, and Tarahan.In Java, the habitat points of Sargassum sp. are in Karimunjawa, Rembang and Probolinggo.Madura has potential in Saronggi, Talango, Ponjuk, and Gili Genting.Kalimantan can also be found in Singkawang, Lemukutan and Bontang.Sulawesi has potential for Sargassum sp. in Bonerita, Takalar and Barrang Lompo.East Nusa Tenggara has potential in Katundu, Hansisi, Alor, and Netbaun.West Nusa Tenggara is located in Ekas, Gerupuk, Labuan Ijuk, Wane and Cempi.Bali has potential in Sanur, Sawangan, and Serangan.Maluku has potential in Weda, Hatumuri, and Tapi.Papua has potential in Raja Ampat and Manokwari.Environmental parameters that support the growth of Sargassum sp.include a bottom substrate of coral, temperatures ranging from 29.5 -32.7, a salinity of 29-30 ppt, a pH 7.9-8.15,dissolved oxygen levels from 6.7 ppm -8.5 ppm, and light intensity obtained ranged from 590100 Lux to 772100 Lux.
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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 | 0.000 | 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 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".