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Record W2910734407 · doi:10.1039/c8cc07805j

Highly crystalline ramsdellite as a cathode material for near-neutral aqueous MnO<sub>2</sub>/Zn batteries

2019· article· en· W2910734407 on OpenAlexaff
Ivan Stoševski, Arman Bonakdarpour, Faye Cuadra, David P. Wilkinson

Bibliographic record

VenueChemical Communications · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsVancouver Biotech (Canada)University of British Columbia
Fundersnot available
KeywordsAqueous solutionCathodeElectrolyteMaterials scienceInorganic chemistryElectrochemistryBattery (electricity)Chemical engineeringChemistryElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

Chemically-prepared MnO2 containing a highly crystalline ramsdellite phase was tested as a cathode material in aqueous Zn-salt (ZnSO4 and Zn(CF3SO3)2) based electrolytes for the first time. This aqueous MnO2/Zn cell has shown excellent performance and reversibility, retaining ≈65% of its initial capacity for more than 1000 cycles. The charge storage mechanism is complex and includes a ramsdellite/tetragonal spinel two-phase reaction.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.021
GPT teacher head0.275
Teacher spread0.255 · 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 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

Citations42
Published2019
Admission routes1
Has abstractyes

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