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Record W2029730948 · doi:10.1149/05901.0115ecst

Evaluation of an Early Stage Air Cathode for Zinc Air Battery Applications

2014· article· en· W2029730948 on OpenAlexaff
Xinge Zhang, Wei Qu, Jason Fahlman, Ken Tsay, Xiao‐Zi Yuan

Bibliographic record

VenueECS Transactions · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsCathodePotassium hydroxideBattery (electricity)ZincMaterials scienceStage (stratigraphy)HydroxideMetallurgyAnalytical Chemistry (journal)ChemistryElectrical engineeringChemical engineeringInorganic chemistryEngineeringEnvironmental chemistry

Abstract

fetched live from OpenAlex

In this study, we evaluated the performance of the air cathode prepared by our industrial partner in a customized test platform under operating conditions of temperature up to 70°C, potassium hydroxide (KOH) concentration approximately 45wt% and current density of 0.2A/cm 2 . The temperature and CO 2 effect on the performance were also investigated. The air cathode performed for over 1000 hours lifetime with the best degradation rate of approximately 0.15mV/hr.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.034
GPT teacher head0.316
Teacher spread0.281 · 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 teacher head, 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

Citations1
Published2014
Admission routes1
Has abstractyes

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