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Record W2554174234 · doi:10.3233/jcm-160678

An extensible platform for building remote experiment control

2016· article· en· W2554174234 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

VenueJournal of Computational Methods in Sciences and Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsIBM (Canada)Western University
Fundersnot available
KeywordsComputer scienceMiddleware (distributed applications)Remote controlSoftwareMechatronicsControl (management)Systems engineeringSoftware engineeringEmbedded systemOperating systemEngineering

Abstract

fetched live from OpenAlex

Research equipment, experiment control devices and even industrial equipment, typically require individuals to be present to make use of that equipment. In many cases, this requires researchers to travel to the equipment or move the equipment to specific locations and operate it. With network connectivity becoming more available, even in remote locations, remote operation of such equipment is increasingly possible. This can reduce travel costs, increase the efficiency of use of such equipment and even help with safety. This paper describes work on the creation of a software platform of generic services for access to and use of devices for research, education and potentially for industrial use. The current set of services, the underlying middleware and architecture of the platform are described. Use of the platform to develop remote operation services for a mechatronics laboratory for use by engineering students is presented. The longer term goal is to make the software available to researchers to allow better remote access to experiments in environments such as undersea, deep space, high radiation, and toxic gases.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.259
Threshold uncertainty score0.372

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 head0.031
GPT teacher head0.377
Teacher spread0.346 · 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