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Record W4380271550 · doi:10.31289/jcebt.v7i1.9108

Pengujian Krokos Pada Pulau Terluar di Provinsi Bengkulu

2023· article· id· W4380271550 on OpenAlexaff
Nurhimat, James Hellyward

Bibliographic record

VenueJOURNAL OF CIVIL ENGINEERING BUILDING AND TRANSPORTATION · 2023
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsForestryPhysicsGeography

Abstract

fetched live from OpenAlex

Pulau Enggano adalah salah satu pulau terluar Indonesia yang terletak di samudra Hindia. Pulau Enggano ini merupakan bagian dari wilayah pemerintah Kabupaten Bengkulu Utara, Provinsi Bengkulu, dan merupakan satu kecamatan Enggano. Pulau Enggano merupakan salah satu pulau yang akan dikembangkan. Pulau ini berada di sebelah barat daya dari kota Bengkulu dengan koordinat 05° 23′ 21″ LS, 102° 24′ 40″ BT. Berdasarkan data Badan Pusat Statistik tahun 2020, jumlah penduduk Enggano sebanyak 4.035 jiwa. Sebagian jalan tersebut berupa penetrasi McAdam, sisanya masih jalan tanah. Walaupun LHR-nya kurang dari 50 kendaraan dengan beban kurang dari 8 ton, kondisi jalan tersebut saat ini sudah sangat memprihatinkan. Study ini bertujuan untuk mengetahui hasil terbaik yang akan digunakan untuk perbaikan jalan di provinsi terluar bengkulu. Bahan uji material yang digunakan adalah krokos dan campuran pendukungnya, yaitu agregat lokal (krokos), krokos plus semen 7%, dan krokos plus pasir 35%.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.004

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 head0.006
GPT teacher head0.193
Teacher spread0.187 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

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