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Record W1969587035 · doi:10.5006/1.3278444

Electrochemical Monitoring of Selective Phase Corrosion of Nickel Aluminum Bronze in Seawater

2008· article· en· W1969587035 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 · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgy and Material Science
Canadian institutionsDepartment of National Defence
Fundersnot available
KeywordsBronzeSeawaterNickelMetallurgyCorrosionElectrochemistryMaterials scienceAluminiumPhase (matter)ChemistryElectrodeOceanographyGeology

Abstract

fetched live from OpenAlex

Components made from cast nickel aluminum bronze have been used extensively in some seawater systems because of their generally good toughness. However, this alloy can be susceptible to selective phase corrosion. This has led to requirements for removal of components on a fixed timetable to test for the presence of this corrosion. Significant savings in cost and labor could be achieved if components were only removed when significant corrosion damage had actually occurred. In an effort to find a useful method for online corrosion monitoring, several electrochemical techniques were assessed to determine if they could detect the onset of selective phase corrosion in specimens exposed to clean, flowing seawater that was subject to occasional injections of sulfides liberated from decaying marine organisms. Prior to immersion in the seawater, individual specimens were subjected to different heat treatments intended to either enhance or reduce susceptibility to selective phase corrosion. At the conclusion of the electrochemical tests, specimens were sectioned and inspected for evidence of selective attack.

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 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 score0.004
Threshold uncertainty score0.422

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)0.0000.000

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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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