MétaCan
Menu
Back to cohort
Record W2129068501 · doi:10.5006/1377

AC Corrosion at Coating Defect on Pipelines

2014· article· en· W2129068501 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 · 2014
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCorrosionCoatingMaterials sciencePipeline transportMetallurgyForensic engineeringComposite materialEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

In this work, the effect of the size and geometrical shape of coating defects on pipeline corrosion under alternating current (AC) interference in a deoxygenated, near-neutral pH bicarbonate solution was studied by direct current (DC) potential analysis, polarization curve measurements, and surface characterization. The results demonstrate that the size of the defect is critical to AC corrosion of steel occurring at the defect base. When a defect is small, the threshold AC to induce pitting corrosion is low. Moreover, both anodic and cathodic current densities decrease, which is attributed to the blocking effect of corrosion product accumulating at the defect. The shape of the defect affects corrosion only when the defect is small, e.g., 5 mm in diameter. The effect becomes undetectable when the defect is large, e.g., 10 mm in diameter. Generally, circular and triangular defects are associated with the most and least negative DC potentials as well as the largest and smallest anodic current densities, respectively, while square-shaped defects fell somewhere in between in terms of both potential density and current density values.

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 categoriesInsufficient payload (model declined to judge)
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 score0.032
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.021
GPT teacher head0.261
Teacher spread0.241 · 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