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Record W2007003680 · doi:10.1002/jbm.a.32107

The mechanism of deposition of calcium phosphate coatings from solution onto magnesium alloy AZ31

2008· article· en· W2007003680 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

VenueJournal of Biomedical Materials Research Part A · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsLaurentian University
Fundersnot available
KeywordsMaterials scienceMagnesiumCoatingBiocompatibilityCorrosionMagnesium alloyApatiteConversion coatingDissolutionCalciumX-ray photoelectron spectroscopyMetallurgyChemical engineeringDeposition (geology)AlloyComposite material

Abstract

fetched live from OpenAlex

In recent years, magnesium alloys have been proposed as a new class of metallic bioabsorbable implant material. Unfortunately, hydrogen gas evolution and an increase in alkalinity are both byproducts of the degradation process. This necessitates the development of magnesium alloys with controlled degradation rates. The development of biocompatible coatings that can delay the onset of corrosion is essential for improving the lifetime and performance of these materials in vivo. Calcium phosphate coatings have been shown to improve the biocompatibility of metallic implants for orthopedic applications. In this article, we report a solution chemistry technique for depositing calcium phosphate coatings on magnesium alloy surfaces. Our kinetic studies indicate that the deposition of the coating is related to the anodic dissolution of the substrate. Characterization of the coating by XPS, SEM/EDS, and XRD reveal that the coating produced is a poorly crystalline calcium magnesium hydroxyapatite material.

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)0.004
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.071
GPT teacher head0.327
Teacher spread0.256 · 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