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Test of Asphalt Working from a Mill from the Frez from the Exploded Asphaltobetone Layers of Road Surfaces

2019· article· en· W2995558096 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

VenueKey engineering materials · 2019
Typearticle
Languageen
FieldEngineering
TopicTransportation Systems and Logistics
Canadian institutionsInterface Biologics (Canada)
Fundersnot available
KeywordsAsphaltAggregate (composite)Materials scienceLayer (electronics)FabricationComposite materialProcess engineeringEngineeringWaste management

Abstract

fetched live from OpenAlex

The milling cutter obtained from milling the surface layers from the worn out class A, S and GP roads is a valuable component of the newly produced asphalt mixtures. The proportion of granulate as a material obtained from the aggregate cutter with the content of used asphalt binder for MMA production according to available recommended documents should not exceed 30% of recycled material in the overall composition of the weight formula of the new mixture designed with the participation of fresh native aggregates. MMA properties with a 30% share of the milling cutter for fabrication of the foundation layer and an intermediate layer with parameters do not differ from mixtures made of native aggregates. It is purposeful to develop framework standards for specifying the methods of obtaining and its classification for objective evaluation and a high-value application in MMA technology involving partial or full processing of an asphalt cutter.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.015
GPT teacher head0.186
Teacher spread0.171 · 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