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Laboratory tests results of a measuring station for plate bearing tests of road structures

2021· article· en· W3203218592 on OpenAlex

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

VenueAutomobile Roads and Road Construction · 2021
Typearticle
Languageen
FieldEngineering
TopicIndustrial Engineering and Technologies
Canadian institutionsTransport Canada
Fundersnot available
KeywordsTruckRange (aeronautics)Total stationMetrologyProcess (computing)EngineeringMeasuring instrumentBearing (navigation)SoftwareMarine engineeringComputer scienceAutomotive engineeringGeodesyGeologyArtificial intelligence

Abstract

fetched live from OpenAlex

An article devoted to the development of the latest equipment for testing road structures during the diagnostics of roads both in the process of repair and construction, and in the process of operation. A measuring station for stamp tests of road structures and their layers has been developed, which unites the test equipment into a single automated complex mounted on the base car. This eliminates the need for manual labor of the operator, increases productivity and accuracy of tests, provides the ability to perform multiple loads. At the same time, any truck or road vehicle can be used to create the load. A measuring unit with special software installed on it is used for registration and processing of measurement results. The results of laboratory tests of the measuring station, which were carried out in the laboratory of the department of metrological support of measurements of geometric quantities of SE «Ukrmetrteststandard» are highlighted. The obtained results indicate that the values of measuring force, absolute error and range of measurements of the station of movement of the station meet the regulatory requirements.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.013
GPT teacher head0.218
Teacher spread0.205 · 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