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Record W2800113872 · doi:10.1139/tcsme-2016-0056

DEVELOPMENT OF AN AUTOMATIC MEASUREMENT AND MATCHING MACHINE FOR COLUMNED BATTERY CELLS

2016· article· en· W2800113872 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Measurement and Detection Methods
Canadian institutionsnot available
FundersChung Yuan Christian University
KeywordsBattery (electricity)SortingComputer scienceMatching (statistics)Interface (matter)Mechanism (biology)Control (management)Computer hardwareAutomotive engineeringArtificial intelligenceEngineeringOperating systemAlgorithm

Abstract

fetched live from OpenAlex

An automatic measurement and matching machine for columned batteries is developed in this study. The automatic machine consists of a battery feeding case, an intermittent separation feeding mechanism, a test region, eight classification transport channels, and battery depositary boxes. Besides the mechanism design, a human-machine interface and control program are written in VB language. The program provides the control and monitoring program for the auto-measurement system. The program cannot only read the measurement data and control the automatic machine, but also store these data and provide the test data histories for each cell supplier to the user. The experimental results show that the automatic machine could examine and classify the columned battery cells efficiently and decrease the demand of manpower. The results also show that the total measured and sorting quantity of one machine for eight hours is about 5760 pieces, which is greater than the 3500 pieces measured by one manpower.

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.570
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.025
GPT teacher head0.223
Teacher spread0.199 · 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