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Record W1492796169 · doi:10.1109/mias.2014.2345801

There's an App for That A Mobile Application for the Optimization of Electrolytic Tinning Line

2015· article· en· W1492796169 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Industry Applications Magazine · 2015
Typearticle
Languageen
FieldEngineering
TopicElectrical Contact Performance and Analysis
Canadian institutionsUniversity of WaterlooStantec (Canada)
Fundersnot available
KeywordsLine (geometry)Allowance (engineering)EngineeringProcess optimizationMechanical engineering

Abstract

fetched live from OpenAlex

A mobile application for the optimal operation of electrolytic tinning lines has been developed. Microsoft Excel was the software of choice for the development of the user-friendly operator interface and the optimization engine. The mobile application tool is available online through Google Sites and can be used for the optimal operation of any electrolytic tinning line, whether halogen or Ferrostan type. The tool is also seamlessly adaptable to optimize tin-free lines. An allowance is made for the adjustment of constraints due to a variety of process conditions, such as limits on the maximum line speed, reduced number of anodes, and changes in the optimal current density. The mobile application has been successfully used in the optimization and operation of a halogen-based electrolytic tinning line.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.283
Teacher spread0.252 · 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