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Record W3109545584 · doi:10.1201/9781003076155-115

Electron Beam-Curable Epoxy Adhesives—A Synopsis of Recent Development Efforts

2020· book-chapter· en· W3109545584 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

Venuenot available
Typebook-chapter
Languageen
FieldChemistry
TopicPhotopolymerization techniques and applications
Canadian institutionsDeep River Science Academy
Fundersnot available
KeywordsEpoxyAdhesiveCathode rayMaterials scienceComposite materialElectronPhysicsNuclear physics

Abstract

fetched live from OpenAlex

Acsion Industries has a research program to develop epoxy based (cationic) electron beam (EB) curable adhesive systems, application protocols, and surface preparation methods for use on composite and aluminum substrates. EB-curable adhesive systems offer significant advantages over traditional thermally cured systems including reduced thermal stresses, shorter curing times, long shelf lives, and improved process control. The EB adhesive screening program utilized single lap shear (ASTM D1002) testing on abraded phosphoric acid anodized (ASTM D3933) 2024 T3 alclad aluminum and abraded thermally cured graphite composite substrate (Hexcel W3T-282-42-F263). Rheological properties were determined using dynamic mechanical analysis on EB-cured specimens.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: Other · Consensus signal: Other
Teacher disagreement score0.432
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0170.000

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 head0.018
GPT teacher head0.239
Teacher spread0.221 · 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