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Record W4403702339 · doi:10.1016/j.jma.2024.10.001

Research advances of magnesium and magnesium alloys globally in 2023

2024· article· en· W4403702339 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 Magnesium and Alloys · 2024
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsToronto Metropolitan University
FundersNational Natural Science Foundation of China
KeywordsMagnesiumMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

Magnesium materials have attracted the attention of many researchers, and the related research is expanding. This article summarizes the advance in the research and development of magnesium materials globally in 2023 from bibliometric and scientific perspectives. More than 4680 articles on Mg and its alloys were published and indexed in the Web of Science (WoS) Core Collection database last year. The bibliometric analyses show that the traditional structural Mg alloys, functional Mg materials, and corrosion and protection of Mg alloys are still the main research focus. Therefore, this review paper mainly focuses on the research progress of Mg cast alloys, Mg wrought alloys, bio-magnesium alloys, Mg-based energy storage materials, corrosion and protection of Mg alloys in 2023. In addition, future research directions are proposed based on the challenges and obstacles identified throughout this review.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.314
Teacher spread0.290 · 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