MétaCan
Menu
Back to cohort
Record W7014262440

PERENCANAAN PEMBANGUNAN INFRASTRUKTUR JALAN RAYA DI TEMANGGUNG

2024· other· id· W7014262440 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

VenueUAJY Repository (University of Southampton) · 2024
Typeother
Languageid
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsUrban planning
DOInot available

Abstract

fetched live from OpenAlex

Pada perancangan infrastruktur jalan ini, wilayah perancangan berada di Kabupaten Temanggung yang terletak di Provinsi Jawa Tengah. Berbagai potensi yang ada pada Kabupaten Temanggung perlu untuk lebih ditingkatkan, namun akses pembangunan jalan pada wilayah Temanggung belum merata dan kurang memadai serta faktor kendala geografis seperti adanya lembah dan pegunungan, oleh sebab itu perencanaan infrastruktur jalan ini diharapkan dapat menciptakan keberlanjutan dan kesejahteraan masyarakat melalui peningkatan konektivitas dan aksesibilitas. Laporan ini akan memberikan sedikit gambaran mengenai desain jalan dengan memperhatikan alinemen horizontal dan vertikal, memyusun kelayakan dari infrastruktur jalan dan tebal perkerasan. Desain yang dirancangkan ini menggunakan teknologi berupa aplikasi Civil 3D dan Autocad yang sangat membantu laporan ini sehingga dapat disusun secara baik dan dapat memberikan gambaran secara lebih nyata tentang perencanaan pembangunan infrastruktur jalan di Kabupaten Temanggung.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.545
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.005
GPT teacher head0.152
Teacher spread0.148 · 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