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Record W3187275961 · doi:10.1002/open.202100174

Front Cover: Reactivity of Coinage Metal Hydrides for the Production of H<sub>2</sub> Molecules (ChemistryOpen 8/2021)

2021· paratext· en· W3187275961 on OpenAlexaff
Íñigo Iribarren, Goar Sánchez‐Sanz, José Elguero, Ibón Alkorta, Cristina Trujillo

Bibliographic record

VenueChemistryOpen · 2021
Typeparatext
Languageen
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsTrinity College
Fundersnot available
KeywordsFront coverMetalReactivity (psychology)HydrogenFront (military)Cover (algebra)MoleculeChemistryHydrogen moleculePhysical chemistryChemical physicsMaterials scienceComputational chemistryInorganic chemistryNanotechnologyOrganic chemistryPhysicsMechanical engineeringMeteorologyEngineering

Abstract

fetched live from OpenAlex

The Front Cover shows the studied process of releasing the hydrogen stored in coinage metals hydrides. The possibility of reversibly storing hydrogen using these metallic compounds as reactants to produce H2 gas and metallic dimers has been investigated. Computational studies have been carried out to investigate these processes, as shown in the concept art by the Schrödinger equation. It was found that the formation and release of H2 is energetically favorable. More information can be found in the Full Paper by Iñigo Iribarren et al.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.303
Threshold uncertainty score0.994

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3030.078

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 head0.017
GPT teacher head0.256
Teacher spread0.239 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

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