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Record W2977626919 · doi:10.2472/jsms.65.253

Evaluation of the Prediction Method on the Ozone Resistance of Rubbery Materials for Laminated Rubber Bearings

2016· article· en· W2977626919 on OpenAlex
Takanobu Kawamura, Takehiro Tomita, Takashi Sunada, Yasushi Abe, Koji Fujita, Shinichirou KUMAGAI, Toyoaki MIYAGAWA

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

VenueJournal of the Society of Materials Science Japan · 2016
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposite Synthesis and Irradiation
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsNatural rubberMaterials scienceSpinodalComposite materialStrain energyStrain (injury)ElastomerOzoneActivation energyStrain rateThermodynamicsChemistryFinite element methodPhysical chemistry

Abstract

fetched live from OpenAlex

The strain dependence of the reaction rate of rubbery materials with ozone was discussed on the basis of the activation energy and the strain energy. The stretched molecular chains of rubbery materials can acquire the strain energy to be excited to the higher energy level than that of unstretched molecular chains, which results in the temporary reduction of the activation energy of the degradation reaction. Our theory predicts the spinodal-like transition will occur for the evaluation behavior of the ozone cracks at the higher strain energy. We observed such transition phenomena on the rubbery materials for laminated rubber bearings. The ozone resistance of the rubber material can be predicted by our theory and the experiment in different strain conditions.

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)0.028
metaresearch head score (Gemma)0.002
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 score0.026
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.029
GPT teacher head0.286
Teacher spread0.257 · 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