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Record W4383033483 · doi:10.36341/racic.v8i1.3075

OPTIMALISASI KINERJA PERSIMPANGAN TIDAK SEBIDANG PADA KAWASAN PERBELANJAAN MALL SKA – LIVING WORLD (SIMPANG JL. TUANKU TAMBUSAI – JL. SOEKARNO HATTA) DI PEKANBARU

2023· article· id· W4383033483 on OpenAlex
Ridwan Helmi

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

VenueRacic Rab Construction Research · 2023
Typearticle
Languageid
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Simpang Jl. Tuanku Tambusai – Jl. Soekarno – Hatta merupakan simpang APILL tidak sebidang yang berada pada Kawasan Perbelanjaan Mall SKA - Living World Kota Peaknbaru. Kinerja eksisting Simpang Jl. Tuanku Tambusai – Jl. Soekarno – Hatta yaitu derajat kejenuhan 1,05 , tundaan simpang 645,5 detik , dan antrian 371,10 m. Penelitian ini bertujuan untuk menganalisis kondisi eksisting dengan menggunakan simulasi aplikasi PTV Vissim serta penerapan alternatif skenario penanganan permasalahannya. Dari hasil analisis didapatkan beberapa alternatif skenario penanganan permasalahan lalu lintas pada Simpang Jl. Tuanku Tambusai – Jl. Soekarno – Hatta yaitu pengalihan konflik lalu lintas pada skenario 1, pengaturan waktu siklus pada skenario 2 dan pelebaran jalan pada skenaro 3.

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)0.005
metaresearch head score (Gemma)0.001
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), Insufficient 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 score0.297
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.011
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.003

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 head0.051
GPT teacher head0.317
Teacher spread0.266 · 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