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Record W4283751682 · doi:10.36080/an.v1i03.24

FORECASTING EFEK PEMBANGUNAN DRY PORT TERHADAP PERTUMBUHAN PRODUK DOMESTIK REGIONAL BRUTO: STUDI KASUS SULAWESI SELATAN

2022· article· en· W4283751682 on OpenAlex
Feri Fadli, Pramudyo Bayu Pamungkas

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

VenueArtinara · 2022
Typearticle
Languageen
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPort (circuit theory)BusinessAgricultural economicsEnvironmental scienceAgricultural scienceOperations managementEconomicsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

The economic feasibility of a project is typically measured by the increase in the value of GRDP achieved as a result of the project's generation effect. Especially in the case of transportation infrastructure projects involving a large amount of goods movement or logistics. This is closely related to an increase in a region's economic activity. Ease of access, as well as the availability of adequate transportation and infrastructure, can reduce logistics costs and thus lower the price of goods in circulation. As a result, the effect of dry port development in Sidrap and Jeneponto Regencies, South Sulawesi, on regional economic growth is projected in this article. Forecasting economic growth is based on and refers to the increase in the existing GRDP value as a result of the Dry Port construction. Knowing the impact of development on GRDP allows the project's economic feasibility to be tested and considered in the future. In this case, the Dry Port construction in two sites is feasible based on the GRDP growth.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.200
Teacher spread0.178 · 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