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Record W2517528513 · doi:10.5006/2200

Effect of Long Range Order on the Stress Corrosion Susceptibility of a Nickel-33 at% Chromium Alloy

2016· article· en· W2517528513 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

VenueCORROSION · 2016
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsAtlantic Industries (Canada)
Fundersnot available
KeywordsMetallurgyMaterials scienceNickelAlloyChromiumCorrosionNickel alloyStress (linguistics)NichromeIntergranular corrosionStress corrosion cracking

Abstract

fetched live from OpenAlex

Fracture mechanics based stress corrosion testing in high-temperature, high purity water was conducted on a Ni-33 at% Cr (30.7 wt%) binary alloy heat treated to produce different degrees of strength via long range order. The as-fabricated and 475°C/200 h aged samples did not exhibit stress corrosion cracking (SCC) at the test conditions (338°C, KI = 33 MPa√m, and 12 SCC H2/kg H2O), but the 475°C/2,000 h aged sample was susceptible. Similar to the effect of “cold work,” the increased hardness, higher strength, and decreased ductility associated with the development of the long range ordered Ni2Cr phase is detrimental to SCC resistance.

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)0.002
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 score0.078
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.272
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