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Record W4250082228 · doi:10.31230/osf.io/382bv

Ekosistem terumbu karang di Pulau Maputi, Kabupaten Donggala, Provinsi Sulawesi Tengah

2018· preprint· id· W4250082228 on OpenAlexaff
Samliok Ndobe, Abigail Mary Moore, Deddy Wahyudi, Muslihuddin, Mohammad Rizki Akbar

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesForestryGeographyArt

Abstract

fetched live from OpenAlex

Pulau Maputi di Selat Makassar, Kabupaten Donggala, Provinsi Sulawesi Tengah merupakan salah satu pulau yang memiliki nilai keanekaragaman hayati tinggi, antara lain sebagai tempat bertelur penyu hijau. Untuk mengetahui kondisi ekosistem di Pulau tersebut, pada tahun 2013 dilakukan penelitian survei, terutama survei ekosistem terumbu karang untuk penyusunan rekomendaksi kebijakan pengelolaan lestari termasuk upaya konservasi. Metode utama yang digunakan adalah Manta Tow dan Reef Check. Berdasarkan skala GCRMN hasil Manta Tow diketahui bahwa keberadaan terumbu karang berkisar dari kondisi Sangat Buruk (≈12%), Buruk (≈50%), Sedang (≈13%), dan Baik (≈25%). Terumbu karang pada bagian Barat Laut serta bagian Timur tepat di dekat lokasi bertelur penyu menarik sebagai lokasi SCUBA diving dan snorkelling. Hasil Reef Check pada dua lokasi tersebut diketahui bahwa penutupan karang keras berkisar 50-60% dan dinilai tepat sebagai kawasan konservasi atau zona inti. Tanda-tanda penangkapan ikan secara destruktif dan berbagai ancaman lain terhadap ekosistem karang teramati. Penyu masih bertelur pada dua lokasi pantai, yang juga memiliki potensi eko-wisata, namun dalam kondisi meprihatinkan, memerlukan pembersihan (perawatan) dan penjagaan penyu serta telurnya dari manusia maupun hewan peliharaan terutama anjing. Pemanfaatan biota langka dan dilindungi tergolong tinggi, sehingga memerlukan peningkatan kesadaran pada semua tingkat maupun penegakan hukum. Dari aspek kesejahteraan masyarakat, kebutuhan utama adalah penyediaan air bersih. Hasil penelitian diharapkan berguna bagi masyarakat, Pemerintah Daerah Kabupaten Donggala serta stakeholders lainnya dalam perencanaan pengelolaan lestari sumberdaya pesisir Pulau Maputi.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.388
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.008
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.015

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.

Opus teacher head0.013
GPT teacher head0.211
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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