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Record W2470241942 · doi:10.1177/0967391120000807449

Damage Evaluation by Means of Electrical Resistivity Measurements

2000· article· en· W2470241942 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

VenuePolymers and Polymer Composites · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsQueen's University
Fundersnot available
KeywordsElectrical resistivity and conductivityMaterials scienceComposite materialComposite numberReproducibilityPerpendicularDrop (telecommunication)Matrix (chemical analysis)

Abstract

fetched live from OpenAlex

Electrical resistivity has been used to detect the internal damage inglass fibre-polyester composite sheet materials. It is shown that theintroduction of microstructural damage to the composite increases theelectrical resistivity in a direction perpendicular to the plane in which thefibres lie. In these experiments, the samples were subjected to somepredetermined value of impact energy using a drop weight tester. The impactenergy causes fibre-matrix debonding and microcrack propagation within thematrix and fibres. The measurement of the electrical resistivity before andafter impact reveals a linear relation between the electrical resistivity andthe magnitude of the applied impact energy. The reproducibility of the data washigher (within ±2%) for the less damaged samples. For the more severelysamples, however, the reproducibility was poorer (within ±8%). This is a goodfeature, as the extent of damage in the less severely damaged samples cannot bedetected by visual inspection.

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 categoriesInsufficient payload (model declined to judge)
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 score0.063
Threshold uncertainty score0.993

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)0.0070.000

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 head0.014
GPT teacher head0.232
Teacher spread0.219 · 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