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Record W4389127364 · doi:10.5151/2594-5327-14798

EFFECT OF RARE EARTH OXIDE GEL CHARACTERISTICS ON HIGH TEMPERATURE OXIDATION BEHAVIOR OF IRON-CHROMIUM ALLOYS

2009· article· en· W4389127364 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

VenueABM Proceedings · 2009
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsGeneral Dynamics (Canada)
Fundersnot available
KeywordsChromiumOxideMaterials scienceAlloyLayer (electronics)Rare earthCrystalliteMetallurgyChemical engineeringThermal oxidationAdhesionInorganic chemistryComposite materialChemistry

Abstract

fetched live from OpenAlex

PDF | The influence of various rare earth (RE) oxide gels - La2O3, CeO2, Pr2O3, Nd2O3, Sm2O3, Gd2O3, Dy2O3, Y2O3, Er2O3, and Yb2O3 - on cyclic oxidation behavior in the range RT- 900oC of Fe20Cr alloys has been studied. This paper presents the effect of rare earth oxide gel characteristics such as morphology, coverage and crystallite size on oxidation behavior of the alloy. These characteristics varied with the type of rare earth. Overall, the oxidation resistance increased with increase in time at temperature required to reach a specific chromium dioxide layer thickness and this was influenced by both the rare earth ion radius as well as the oxide gel characteristics. The latter affected the adhesion and resistance to thermal and growth stresses in the chromium dioxide layer.

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)
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 score0.136
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)0.0000.000

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 head0.004
GPT teacher head0.213
Teacher spread0.209 · 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