MétaCan
Menu
Back to cohort
Record W2096564984 · doi:10.5006/c2003-03057

EIS Investigations of Alkyd and Epoxy Coatings as They Are Chemically Stripped from Steel Panels

2003· article· en· W2096564984 on OpenAlex
Mike O’Donoghue, Ron Garrett, Vijay Datta, Terry J. Aben, C H Hare

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
Typearticle
Languageen
FieldEngineering
TopicMaterial Properties and Processing
Canadian institutionsPowertech Labs (Canada)
Fundersnot available
KeywordsAlkydEpoxyMaterials scienceCorrosionComposite materialMetallurgyCoating

Abstract

fetched live from OpenAlex

Abstract Electrochemical Impedance Spectroscopy (EIS) has been employed to monitor, and model, real time chemical stripping and de-adhesion of select coatings from steel panels. Instead of the customary salt solution, a water based chemical stripper was used in a custom-built EIS cell. In effect, the stripper was simultaneously used as the electrolyte for the EIS test as well as the modus operandi for stripping the coated panels. Alkyd (3 coats) and epoxy polyamide coatings (2 coats) were compared and contrasted during the chemical stripping process. To examine the influence of pigment types in the coatings, a leafing aluminum alkyd finish in a 3 coat system was compared with an alkyd finish that contained titanium dioxide. The epoxy polyamide coating systems examined contained either non-leafing aluminum or titanium dioxide pigments. The EIS data is discussed in terms of such multivariate factors as the pigment used in the different coating types, the influence of coating chemistry and the unique chemistry of the water based chemical stripper.

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 score0.014
Threshold uncertainty score0.306

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 head0.016
GPT teacher head0.194
Teacher spread0.177 · 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
Published2003
Admission routes1
Has abstractyes

Explore more

Same topicMaterial Properties and ProcessingFrench-language works237,207