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Record W2949440309 · doi:10.1109/mce.2019.2905541

Giving Your Home an Edge [The Art of Storage]

2019· article· en· W2949440309 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 Consumer Electronics Magazine · 2019
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Data Storage Technologies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsComputer scienceEdge computingCloud computingEnhanced Data Rates for GSM EvolutionComputer networkEdge deviceGateway (web page)Residential gatewayTelecommunicationsThe InternetInternet of ThingsDefault gatewayComputer securityWorld Wide WebOperating system

Abstract

fetched live from OpenAlex

The Internet of Things and future high-speed wireless networks (such as 5G) are enabling the generation of more data in our homes and in the infrastructure around us than have been created during the entire history of humanity. This will lead to more communication and the use of cloud-based computing, networking, and storage resources [1]. Another impact is the growth of data at <;i>the edge<;/i> of networks. This idea of the edge is rather nebulous; it could refer to computing, networking, and storage/memory at a 5G-enabled cell tower, and it might even describe a gateway and other networked devices in the home. Thus, your home could be at the edge of a network.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.775
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.255
Teacher spread0.240 · 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