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Record W2005497336 · doi:10.5006/1.3278193

A Polarization Study of Alloy 625, Nickel, Chromium, and Molybdenum in Ammoniated Sulfate Solutions

2005· article· en· W2005497336 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCORROSION · 2005
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British Columbia
KeywordsMolybdenumChromiumNickelAlloyMaterials sciencePolarization (electrochemistry)MetallurgySulfateNickel alloyChemistry

Abstract

fetched live from OpenAlex

A polarization study of Alloy 625 (UNS N06625), nickel, chromium, and molybdenum, in a solution of ammonia (NH3) and sulfuric acid (H2SO4) at pH 10, is presented. The effect of air, oxygen, hydrogen peroxide (H2O2), and variation in pH is examined. Pourbaix diagrams for the Ni-NH3-H2O and Cr-H2O systems are presented. The formation of metastable oxides is suggested by the observed passivation of both the alloy and Ni outside their thermodynamic fields of stability. The alloy’s polarization curves are similar to those obtained for Cr. Ni is seen to have the highest passive current density while Mo does not passivate. Selective dissolution of Ni from the surface regions of the alloy is predicted. Corrosion rates, which are low (1.2 × 10−3 mmpy at pH 10), increase with decreasing pH. Passive current densities are found to be higher in solutions of sulfate alone. Highly oxygenated solutions do not result in an increase in corrosion rate. However, the addition of H2O2 to the ammoniated solution results in the alloy’s direct activation at transpassive potentials.

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 score0.024
Threshold uncertainty score0.331

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 head0.011
GPT teacher head0.238
Teacher spread0.227 · 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