MétaCan
Menu
Back to cohort
Record W2320388170 · doi:10.1149/1.3414004

Surface Modification and Fabrication of Li-Ion Battery Components for Plug-In Hybrid Electric Vehicle

2010· article· en· W2320388170 on OpenAlex
B. Luan, Glen Campbell, Maxime Gauthier, Xing Yang Liu, Isobel Davidson, John Nagata, Matthieu Lépinay, Fabrice Bernier, Steve Argue

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

VenueECS Transactions · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsNational Research Council Canada
FundersNatural Resources Canada
KeywordsAnodeFabricationBattery (electricity)Surface modificationCoatingMaterials scienceLithium (medication)Reliability (semiconductor)Cathodic protectionWeldingSpark plugAutomotive engineeringLithium-ion batteryNanotechnologyEngineeringPower (physics)Mechanical engineeringComposite materialChemistryElectrodePhysics

Abstract

fetched live from OpenAlex

This paper addresses an important issue for the practical application of lithium ion batteries in PHEV. More specifically, preliminary research results on the coating of separators, welding of battery tabs, and fabrication and surface featuring of anodic and cathodic current collectors are presented. These developments aim at improving the power performance, reliability, and safety of lithium ion batteries.

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 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 score0.367
Threshold uncertainty score0.342

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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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