MétaCan
Menu
Back to cohort
Record W1774251011 · doi:10.1039/c5ra11459d

Compressed sodalite-like MgH<sub>6</sub> as a potential high-temperature superconductor

2015· article· en· W1774251011 on OpenAlexafffund
Xiaolei Feng, Jurong Zhang, Guoying Gao, Hanyu Liu, Hui Wang

Bibliographic record

VenueRSC Advances · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconductivity in MgB2 and Alloys
Canadian institutionsUniversity of Saskatchewan
FundersNational Natural Science Foundation of ChinaWestern Canada Research GridCompute Canada
KeywordsSodaliteSuperconductivityHigh pressureCondensed matter physicsMaterials sciencePhase (matter)High-temperature superconductivityThermodynamicsPhysicsChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

First-principles calculations predicted a MgH 6 phase with a high superconducting critical temperature of ∼260 K under high pressure.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations199
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueRSC AdvancesSame topicSuperconductivity in MgB2 and AlloysFrench-language works237,207