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Record W1904349907 · doi:10.1109/tmbmc.2015.2465513

Defining Communication at the Bottom

2015· article· en· W1904349907 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 Transactions on Molecular Biological and Multi-Scale Communications · 2015
Typearticle
Languageen
FieldEngineering
TopicMolecular Communication and Nanonetworks
Canadian institutionsYork University
Fundersnot available
KeywordsInteroperabilityScope (computer science)Computer scienceScale (ratio)Field (mathematics)Cover (algebra)Data scienceSystems engineeringManagement scienceEngineeringWorld Wide WebMathematicsGeographyMechanical engineering

Abstract

fetched live from OpenAlex

Nanoscale communication is expected to offer unprecedented benefits. However, lack of a precise definition and general framework for nanoscale communication has resulted in limited impact and dissipated effort. The IEEE P1906.1/Draft 1.0 Recommended Practice for Nanoscale and Molecular Communication Framework provides the precise, common definition of nanoscale communication and a standard, general framework. The definition of nanoscale communication must carefully depict the field so that it captures the unique aspects of small-scale physics with respect to communication. Both the definition and framework must be broad enough to cover the scope of cross-disciplinary technologies that may be utilized while simultaneously be precise enough to allow for interoperable and reusable components.The implication for the field is significant. The IEEE P1906.1/ Draft 1.0 Recommended Practice for Nanoscale and Molecular Communication Framework will enable diverse disciplines to have a common language and reference for making lasting contributions. A lasting impact will be possible because others can now build upon these results through rational design and synthesis.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.913
Threshold uncertainty score0.646

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.269
Teacher spread0.221 · 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