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Record W4292177698

Projet ROLL2RAIL: Deliverable D2.3 - State of the Art in Radio Technologies and Recommendation of Suitable Technologies

2015· preprint· en· W4292177698 on OpenAlexaff
Christophe Gransart, Thomas Gallenkamp, Eneko Echeverría, Stephan Pfletschinger, Stephan Sand, Paul Unterhuber, Marion Berbineau, Iñaki Val, Aitor Arriola, Cyril Adrian, Martin Mayr, Luis García Mesa

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2015
Typepreprint
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsDeliverableState (computer science)Emerging technologiesEnvironmental scienceComputer scienceTelecommunicationsEngineeringSystems engineeringArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The goal of this deliverable on state of the art in radio technologies (D2.3) is to have a snapshot of the main current technologies available and future trends to achieve data transmission in real time. The objective is to collect information of existing, promising or under development technologies and architectures from other fields like aeronautics, industrial, telecommunications or signaling. The report include an overview on hardware, protocols, frequencies, performance, simulators and tools, official institutions and bodies, standards, other research projects or initiatives. This state of the art studied various technologies in the railway field and also into some others fields: aeronautics, industry and automotive with the hope to have cross-fertilization usage of some technologies.

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 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)0.002
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.767
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.001
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 head0.013
GPT teacher head0.201
Teacher spread0.189 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2015
Admission routes1
Has abstractyes

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