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Record W2119298575 · doi:10.1149/1.3543569

High-Precision Differential Capacity Analysis of LiMn<sub>2</sub>O<sub>4</sub>/graphite Cells

2011· article· en· W2119298575 on OpenAlex
Aaron Smith, J. C. Burns, J. R. Dahn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueElectrochemical and Solid-State Letters · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsGraphiteMaterials scienceCoulometryDifferential (mechanical device)ElectrodeHeat capacityFadeSlippageCapacity lossAnalytical Chemistry (journal)ThermodynamicsComposite materialElectrochemistryChemistryComputer sciencePhysicsChromatographyPhysical chemistry

Abstract

fetched live from OpenAlex

The differential capacity and charge–discharge end points of a commercial LiMn 2 O 4 /graphite cell were examined using high precision constant-current chronopotentiometry and coulometry. The positive and negative electrodes from a fresh commercial cell were recovered and used to generate high precision "reference" potential-capacity data versus Li. The reference data were used to calculate differential capacity versus potential for "theoretical" LiMn 2 O 4 /graphite cells which could be perfectly matched to data from experiments on full cells. Matching was achieved primarily by relative "slippage" in capacity of the positive and negative potential-capacity curves. This allowed a detailed understanding of the aging processes and capacity fade of a full cell.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.205
Teacher spread0.195 · 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