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Record W2995598819 · doi:10.47599/bsdg.v14i3.249

POTENSI GAMBUT UNTUK PENGEMBANGAN PLTU DI KECAMATAN TELUK MERANTI, KABUPATEN PELALAWAN, PROVINSI RIAU

2019· article· id· W2995598819 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBuletin Sumber Daya Geologi · 2019
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicNatural Products and Applications
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsForestryEnvironmental scienceEngineeringEnvironmental engineeringGeography

Abstract

fetched live from OpenAlex

Sumber daya gambut di Indonesia cukup berlimpah. Terlepas dari pertentangan dalam pemanfaatannya, gambut dapat digunakan sebagai alternatif bahan bakar Pembangkit Listrik Tenaga Uap (PLTU), karena memiliki syarat yang bisa terpenuhi dan mempunyai karakteristik yang identik dengan batubara kalori rendah. Tujuan penelitian ini adalah untuk mengetahui jumlah potensi sumber daya gambut dan estimasi suplai sebagai bahan bakar alternatif untuk PLTU. Lokasi penelitian terletak di wilayah Kecamatan Teluk Meranti, Kabupaten Pelalawan, Provinsi Riau. Ketebalan gambut di daerah ini bervariasi antara 0,7 m sampai dengan 8,7 m dan memiliki nilai kalori rata-rata 5.070 kal/gram (adb). Cadangan terkira gambut yang digunakan untuk PLTU adalah gambut yang memiliki ketebalan kurang dari tiga meter sebesar 45.238.945 ton di Kecamatan Teluk Meranti. Untuk energi listrik dengan kapasitas terpasang 100 MW, gambut pada Blok Teluk Meranti dapat menyuplai bahan bakar untuk PLTU selama ± 114 tahun.

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.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.009

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 head0.012
GPT teacher head0.211
Teacher spread0.199 · 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