MétaCan
Menu
Back to cohort
Record W2565771816 · doi:10.1007/s12243-016-0555-2

Cloudification of the internet of things

2016· article· en· W2565771816 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

VenueAnnals of Telecommunications · 2016
Typearticle
Languageen
FieldComputer Science
TopicCybersecurity and Information Systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInternet privacyInternet of ThingsThe InternetComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The focus of this special issue is on the Internet of Things (IoT) with particular emphasis on the use of the Cloud as a central component of the IoT architecture and a key infrastructural support for IoT applications. With its virtualized infrastructure and software-defined networking substrate, the Cloud is in a good position to provide a flexible and scalable hosting environment for the plethora of emerging IoT applications in health, transportation, smart cities, and many other application areas. The shared infrastructure as service-oriented architecture of the Cloud can be indeed leveraged in support of IoT-generated data and control flows, Machine-to-Machine (M2M) communication, Big-data analytics, IoT management systems, security solutions, Network Function Virtualization (NFV), and SDN-based data forwarding to name a few.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.066
GPT teacher head0.299
Teacher spread0.233 · 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