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Development of Degradable Fe-35Mn Alloy for Biomedical Application

2006· article· en· W1991993691 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

VenueAdvanced materials research · 2006
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMaterials scienceAlloyDuctility (Earth science)SinteringPowder metallurgyMetallurgyCorrosionBiomaterialDegradation (telecommunications)Deformation (meteorology)Composite materialNanotechnologyCreepEngineering

Abstract

fetched live from OpenAlex

As some biomedical problems require only temporary intervention, there is a clinical need for degradable biomaterials with excellent mechanical properties and controllable degradation behaviour. Although several works were carried out on both polymeric and metallic materials, no proposed degradable biomaterial fully satisfied these requirements. Therefore a new Fe-35Mn alloy has been developed as a valid and well suited alternative. The alloy was fabricated through powder metallurgy route followed by successive cold rolling and sintering cycles. This austenitic alloy exhibits a high strength and ductility, comparable to that of type 316L stainless steel. Its antiferromagnetic behaviour is not changed by cold deformation process. The alloy shows suitable degradation behaviour with a uniform corrosion mechanism and a slow release of ions that make it particularly well suited for the development of a new class of biodegradable stents.

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)0.002
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 score0.155
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.050
GPT teacher head0.354
Teacher spread0.303 · 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