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Record W2131237908 · doi:10.1111/ijac.12301

Effect of Electrodeposition Parameters on the Microstructure and Corrosion Behavior of <scp>DCPD</scp> Coatings on Biodegradable <scp>M</scp> g– <scp>C</scp> a– <scp>Z</scp> n Alloy

2014· article· en· W2131237908 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

VenueInternational Journal of Applied Ceramic Technology · 2014
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsConcordia University
FundersUniversiti Teknologi Malaysia
KeywordsMaterials scienceCorrosionAlloyMicrostructureCurrent densityCoatingMetallurgySurface roughnessMorphology (biology)Deposition (geology)Chemical engineeringNuclear chemistryComposite materialChemistry

Abstract

fetched live from OpenAlex

In this study, DCPD ( B rushite, C a HPO 4 .2 H 2 O ) coatings were prepared on the surface of a M g– C a– Z n alloy using different current density (0.15–1.2 mA/cm 2 ) and deposition time (5–90 min). The results revealed that DCPD with needle‐like morphology was observed for the current density between 0.15 and 0.4 mA/cm 2 ‎, whereas ‎plate‐like morphology was obtained at current density above 0.8 mA/cm 2 . The results showed that surface roughness increased with increasing current density. The lowest corrosion rate of 0.14 mm/year was obtained for the dense and uniform DCPD coating ‎at 0.4 mA/cm 2 , while further increase has deleterious effect on the corrosion resistance.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
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 head0.006
GPT teacher head0.223
Teacher spread0.217 · 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