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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 OpenAlex
Nurhimat, James Hellyward

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

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

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