MétaCan
Menu
Back to cohort
Record W2889936076 · doi:10.14447/jnmes.v21i1.515

Design and Development of a Real-time Characterization System for Energy Conversion Devices

2018· article· en· W2889936076 on OpenAlexvenueno aff
J. Riquelme A., P.J. Sebastián, S.A. Gamboa, J. L. Campos

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2018
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsnot available
Fundersnot available
KeywordsTransient (computer programming)SoftwareComputer scienceElectric potential energyVoltageElectronicsEnergy transformationPersonal computerEnergy (signal processing)Terminal (telecommunication)Electrical networkPower (physics)Electrical engineeringPlot (graphics)EngineeringComputer hardwareTelecommunications

Abstract

fetched live from OpenAlex

In this communication it is presented an electronic system for acquiring data from experimental energy conversion devices such as solar cells and fuel cells for micro-electronic applications. The electronic system consists of a software installed in a personal computer and an electronic circuit coupled to a four-wire terminal where the electrical variables like voltage and current can be measured from experimental cells. The software contains a feedback control system for allowing the maximum power transfer from the energy conversion device to the electrical load. It is possible to record and plot the obtained data in real time for a dynamic analysis of the experimental devices at transient or stable state conditions. It is a portable and low-cost device useful for educational and research purposes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.004

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 head0.013
GPT teacher head0.211
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of New Materials for Electrochemical SystemsSame topicEnergy Harvesting in Wireless NetworksFrench-language works237,207