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Record W2335370288 · doi:10.3151/coj.48.4_11

A Study of Rolling Resistance Measurement and Effect on Heavy-duty Fuel Consumption on Concrete Pavement

2010· article· en· W2335370288 on OpenAlexfundno aff
T. Yoshimoto

Bibliographic record

VenueConcrete Journal · 2010
Typearticle
Languageen
FieldEngineering
TopicRailway Engineering and Dynamics
Canadian institutionsnot available
FundersNational Research Council Canada
KeywordsHeavy dutyRolling resistanceEnvironmental scienceFuel efficiencyConsumption (sociology)Waste managementAutomotive engineeringEngineeringStructural engineering

Abstract

fetched live from OpenAlex

道路舗装における路面の種類が重量車の燃費に及ぼす影響について調査することを目的に,成田国際空港の誘導路,国総研の試走路および道東自動車道で重量車の惰行による走行抵抗の測定を行った。JIS D 1012で規定された走行抵抗の測定方法は,縦断勾配やカーブがある実際の道路に適用するには測定延長が不足するなど,問題が多い。本報告では,走行抵抗の縦断勾配補正を精度よく比較的簡易に行う方法を提案するとともに,走行抵抗のうち路面の評価につながる転がり抵抗の算出方法を提案した。さらに転がり抵抗の差異がどの程度重量車の燃費に影響を及ぼすかを明らかにした。

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.226
Teacher spread0.210 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2010
Admission routes1
Has abstractyes

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