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Record W44244910

National Cooperative Highway Research Program, NCHRP Synthesis 463, Pavement Patching Practices - A Synthesis of Highway Practice

2014· article· en· W44244910 on OpenAlexaboutno aff
RS McDaniel, Jan Olek, B. Magee, Ali Behnood, Richard L. Pollock

Bibliographic record

VenueUlster University Research Portal (Ulster University) · 2014
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
FundersFederal Highway AdministrationTexas Department of TransportationMinnesota Department of TransportationCalifornia Department of TransportationAustralian GovernmentU.S. Department of Transportation
KeywordsState highwayHighway maintenanceTransport engineeringHighway systemRoad surfaceHighway engineeringEngineeringState (computer science)AsphaltControl (management)Best practiceRoad constructionCivil engineeringForensic engineeringPolitical scienceGeographyComputer scienceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Systematic, well-designed research provides the most effective approach to the solution of many problems facing highway administrators and engineers.Often, highway problems are of local interest and can best be studied by highway departments individually or in cooperation with their state universities and others.However, the accelerating growth of highway transportation develops increasingly complex problems of wide interest to highway authorities.These problems are best studied through a coordinated program of cooperative research.In recognition of these needs, the highway administrators of the American Association of State Highway and Transportation Officials initiated in 1962 an objective national highway research program employing modern scientific techniques.This program is supported on a continuing basis by funds from participating member states of the Association and it receives the full cooperation and support of the Federal Highway Administration, United States Department of Transportation.The Transportation Research Board of the National Academies was requested by the Association to administer the research program because of the Board's recognized objectivity and understanding of modern research practices.The Board is uniquely suited for this purpose as it maintains an extensive committee structure from which authorities on any highway transportation subject may be drawn; it possesses avenues of communications and cooperation with federal, state, and local governmental agencies, universities, and industry; its relationship to the National Research Council is an insurance of objectivity; it maintains a full-time research correlation staff of specialists in highway transportation matters to bring the findings of research directly to those who are in a position to use them.The program is developed on the basis of research needs identified by chief administrators of the highway and transportation departments and by committees of AASHTO.Each year, specific areas of research needs to be included in the program are proposed to the National Research Council and the Board by the American Association of State Highway and Transportation Officials.Research projects to fulfill these needs are defined by the Board, and qualified research agencies are selected from those that have submitted proposals.Administration and surveillance of research contracts are the responsibilities of the National Research Council and the Transportation Research Board.The needs for highway research are many, and the National Cooperative Highway Research Program can make significant contributions to the solution of highway transportation problems of mutual concern to many responsible groups.The program, however, is intended to complement rather than to substitute for or duplicate other highway research programs.

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)0.016
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.341
Threshold uncertainty score0.678

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.021
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.004

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 head0.079
GPT teacher head0.348
Teacher spread0.268 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations8
Published2014
Admission routes1
Has abstractyes

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