MétaCan
Menu
Back to cohort
Record W3137490433 · doi:10.5539/apr.v13n2p35

Ultra-Conductive Magnesium

2021· preprint· en· W3137490433 on OpenAlexvenueno aff
Fran De Aquino

Bibliographic record

VenueApplied Physics Research · 2021
Typepreprint
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsConductorElectrical resistivity and conductivityMagnesiumElectrical conductorMaterials scienceMetalConductivityElectrical currentCurrent (fluid)Crystal (programming language)MetallurgyComposite materialElectrical engineeringChemistryPhysicsThermodynamicsComputer science

Abstract

fetched live from OpenAlex

The improvement of the electrical conductivity of usual metals is limited by the purity of the metal and the ability to grow single crystal structures. Also, it was observed that the AC conductivity of the metal increases when the frequency of the electrical current applied on the conductor increases. Here, we show that the pure Magnesium metal can exhibit an ultrahigh electrical conductivity when it is subjected to 360K temperature, and an electrical current with frequency of the order of 1GHz.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.133
GPT teacher head0.366
Teacher spread0.232 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueApplied Physics ResearchSame topicMagnesium Alloys: Properties and ApplicationsFrench-language works237,207