MétaCan
Menu
Back to cohort
Record W2617114310 · doi:10.1504/ijhvs.2017.10005337

Experimental validation of the U<SUP align="right">*</SUP> index theory for load transfer analysis

2017· article· en· W2617114310 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

VenueInternational Journal of Heavy Vehicle Systems · 2017
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTransfer (computing)Index (typography)PhysicsAtomic physicsComputer science

Abstract

fetched live from OpenAlex

Engineering structures are designed to transfer external loads to their supports. Therefore, it is necessary to study the pattern of load transfer. The U<SUP align="right"><SMALL>&#42;</SMALL></SUP> index method has been introduced to follow the load path in the structure. The U<SUP align="right"><SMALL>&#42;</SMALL></SUP> value at each point corresponds to its significance in the load carrying process. The U<SUP align="right"><SMALL>&#42;</SMALL></SUP> index theory has been used as a new design approach in lightweight vehicle structures but there has not been any experimental validation of this theory. In this study, two experiments are presented to show that the U<SUP align="right"><SMALL>&#42;</SMALL></SUP>index is a true indicator of load transfer in the structure and areas with higher U<SUP align="right"><SMALL>&#42;</SMALL></SUP> index values indeed carry more load. The results also prove the insensitivity of the U<SUP align="right"><SMALL>&#42;</SMALL></SUP> index to stress concentrations. This study presents the first experimental validation of the U<SUP align="right"><SMALL>&#42;</SMALL></SUP> index theory which is important to this new approach for light-weight vehicle structural design.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.292
Teacher spread0.273 · 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