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Record W2151210904 · doi:10.1149/1.2789233

Crevice Corrosion of Ni-Cr-Mo Alloys

2007· article· en· W2151210904 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

VenueECS Transactions · 2007
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsWestern University
Fundersnot available
KeywordsCrevice corrosionAlloyCorrosionMaterials scienceMetallurgyLayer (electronics)Enhanced Data Rates for GSM EvolutionSign (mathematics)Composite material

Abstract

fetched live from OpenAlex

The crevice corrosion of Alloy-22 has been studied under galvanostatic conditions in 5 mol/L NaCl at 120{degree sign}C, since the process was very difficult to initiate under natural corrosion conditions. Stable propagation could be achieved for applied currents of {greater than or equal to} 10 μA, but not for applied currents {less than or equal to} 5 μA, despite a large number of initiation attempts. Initiation appears to require a potential sufficiently positive (200 mV vs. sat'd Ag/AgCl) for the injection of defects into the Cr2O3 barrier layer. Propagation occurs preferentially at the edge of the creviced area and spreads across, rather than penetrating into, the alloy surface. This may be due to the presence of a protective Mo/W gel layer on the exposed alloy surface.

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)0.001
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 score0.204
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0040.000

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 head0.019
GPT teacher head0.279
Teacher spread0.260 · 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