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Record W2236680038 · doi:10.4271/2005-01-0541

Corrosion Product Analysis of Aluminum Closure Panels

2005· article· en· W2236680038 on OpenAlexaff
S. Ramamurthy, R. D. Davidson, N. S. McIntyre, G. J. Courval, J. Allin

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2005
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsWestern University
Fundersnot available
KeywordsClosure (psychology)CorrosionAluminiumProduct (mathematics)Computer scienceMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">Painted aluminum panels subjected to several laboratory-based accelerated corrosion tests were examined using surface analytical techniques. This paper presents some of the results from these measurements, which indicated that the nature and the extent of the corrosion attack were greatly influenced by the salt spray conditions. In general, ASTM G 85 acetic acid salt spray produced the greatest amount of corrosion, while exposure to GM 9540P and ASTM B-117 resulted in the least amount of corrosion. Moreover, filiform corrosion was the most common corrosion attack observed from exposures to many of the salt spray tests. Finally, filiform corrosion appeared to propagate by the dissolution of the phosphate conversion coating, thus lifting off the paint layer from the aluminum substrate.</div>

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.238
Teacher spread0.226 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2005
Admission routes1
Has abstractyes

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