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Record W1976522818 · doi:10.1155/2012/548143

Polymeric Organo‐Silane Coatings for Aluminum Alloy Corrosion Protection by Self‐Assembled Metho

2010· article· en· W1976522818 on OpenAlexaff
Yabin Wang, Yanni Li, Fang Wang

Bibliographic record

VenueJournal of Chemistry · 2010
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsScience North
FundersFundamental Research Funds for the Central Universities
KeywordsSilaneChemistryCorrosionAlloyAluminiumAlkylCoatingHydrolysisElectrochemistryPorosityChemical engineeringLayer (electronics)MetallurgyMaterials scienceElectrodeOrganic chemistry

Abstract

fetched live from OpenAlex

The protective performances of coating formed by organo‐silane with a linear alkyl chain for promoting aluminum alloy corrosion protection were evaluated by electrochemical techniques. The coatings were self‐assembled in the hydrolyzed hydroalcoholic bath of n‐octyltriethoxysilane (OS) and cured at hot air oven by different time. The coatings prepared by the less self‐assembled number and shorter cured time, were always porous and scarcely protective. On the contrary, those built by the more self‐assembled number and the longer cured time had higher coverage on aluminum surface and favorable corrosion resistant property. The best results were obtained when n‐octyltri‐ethoxysilane (OS) was hydrolyzed 25 h, self‐assembling of OS was conducted for five times and the multi‐layers were cured at 120 for 1∼2 hours. In this case, the thicker, high cross‐linked and more scarcely defective layer was formed on aluminum alloy surface.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.010
GPT teacher head0.251
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2010
Admission routes1
Has abstractyes

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