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Record W2499196055 · doi:10.1520/mnl12235m

Types of Metal Corrosion and Means of Corrosion Protective by Overlayers

2012· book-chapter· en· W2499196055 on OpenAlex
Kenneth B. Tator, Cynthia L. O’Malley

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

Venuenot available
Typebook-chapter
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsCorrosionMaterials scienceMetallurgyMetal

Abstract

fetched live from OpenAlex

THIS CHAPTER WILL PROVIDE A GENERAL OVERview of the cause of metal corrosion, and its prevention by the use of protective coatings, or overlayers. It must be understood, however, that a thorough discussion of corrosion and corrosion mechanisms can extend far beyond the summaries provided in this chapter. In fact, there are numerous books written solely on corrosion, manifestation of the different types of corrosions, and the reasons why such corrosion occurs. Similarly, the use of protective overlayers over a metal to prevent corrosion is likewise a quite varied and extensive topic. The literal interpretation of the word “overlayers,” as used herein, means anything applied, or overlaid on a metal to prevent, retard, or reduce corrosion. This would include monomolecular layers of gasses, oxides, or other materials that may slow or stop the corrosion process under very specific conditions. Moreover, it includes all of the possible metals and organics that can be applied to a surface. Some of the more common overlayers will be discussed herein.

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 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: Other · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score0.998

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)0.0030.000

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 head0.018
GPT teacher head0.222
Teacher spread0.204 · 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

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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