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Comparison of road freight charging in Visegrad Group countries in the context of sustainable regional development

2019· article· cs· W2949741627 on OpenAlex
Tomáš Kučera, Nikola Viteková

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

Venuenot available
Typearticle
Languagecs
FieldEngineering
TopicTransport and Logistics Innovations
Canadian institutionsTransport Canada
Fundersnot available
KeywordsTollContext (archaeology)Transport engineeringToll roadRoad transportSustainable developmentBusinessPaymentSustainable transportRoad trafficTraffic managementRegional scienceSustainabilityEngineeringGeographyFinancePolitical science

Abstract

fetched live from OpenAlex

Road transport plays an important role in the social and economic development of the state and regions. On the other hand, road transport is a source of emissions, noise and vibration and causes health and safety risks to humans. Road freight charging is being introduced for reasons of road freight transport restrictions. The article aims to make a comparison of the road freight charging in the Visegrad Group countries in the context of sustainable regional development. The article uses a comparison method, which belongs to the category of logical scientific methods. The websites of road transport charging operators are the source of the data in the individual countries of the Visegrad Group countries. The results of the comparison of road freight charging in the Visegrad Group countries are given for each country, with particular emphasis on the legal framework, toll rates and toll payment method in the specific country.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.564

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 head0.027
GPT teacher head0.264
Teacher spread0.237 · 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

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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