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Record W3093805296 · doi:10.37277/stch.v25i1.145

Perencanaan dan Perancangan Lanskap Jalan Margonda Raya di Kota Depok

2018· article· id· W3093805296 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

VenueSainstech Jurnal Penelitian dan Pengkajian Sains dan Teknologi · 2018
Typearticle
Languageid
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesForestryGeographyArt

Abstract

fetched live from OpenAlex

Abstrak---Lanskap jalan adalah wajah dari karakter lahan atau tapak yang terbentuk pada lingkungan jalan, baik yangterbentuk dari elemen lanskap alamiah seperti bentuk topografi lahan yang mempunyai panorama yang indah, maupun yangterbentuk dari elemen lanskap buatan manusia yang disesuaikan dengan kondisi lahannya. Jalan Margonda Rayamerupakan salah satu jalan utama yang menghubungkan antara kota Depok dan Jakarta. Tingginya intensitas kendaraanyang melewati jalan ini sering menimbulkan kemacetan yang cukup parah di wilayah ini. Kurangnya perencanaan jalan danlanskap jalan yang baik menjadi salah satu penyebab kesemrawutan daerah ini. Sehingga diperlukan perencanaan lanskapjalan yang mampu mengakomodasi tingginya intensitas kendaraan serta mampu memberikan kenyamanan, keamanan dankeindahan bagi para pengguna jalan yang melewati kawasan ini. Green Corridor diharapkan mampu memberikan rasanyaman, aman dan indah di Jalan Margonda Raya ini, selain itu konsep ini akan turut memberikan tambahan ruang terbukahijau dengan menhadirkan RTH linear yang membelah Kota Depok.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.223
Teacher spread0.209 · 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