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Record W1564428840

Predicción de cobertura en sistemas LMDS/LMCS

2001· article· es· W1564428840 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldComputer Science
TopicMedia and Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsLocal Multipoint Distribution ServiceBroadbandComputer scienceContext (archaeology)TelecommunicationsWirelessGeography
DOInot available

Abstract

fetched live from OpenAlex

The growing demand for communication services such as voice, data, video, audio, multimedia y/o any combination of these has increased the demand for broadband systems. In this context, the LMDS system (Local Multipoint Distribution Service) and their Canadian version LMCS (Local Multipoint Communication System), which utilize minimum bandwidths of 1.3 GHz, have become in strong candidates to cover this necessity. In this article, an algorithm is developed to determine one of the most important aspects in the planning of systems LMDS/LMCS and of a wireless system in general: coverage system. Additionally, coverage radiuses in the systems LMDS/LMCS for temperate climates and tropical and equatorial regions in analytical way and through the use of the NETDimensionTM software are compared. Finally, the influence of diverse factors is also analyzed in coverage radio of the LMDS/LMCS systems.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.900
Threshold uncertainty score0.746

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 communication0.0010.001
Open science0.0020.001
Research integrity0.0000.000
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 head0.019
GPT teacher head0.268
Teacher spread0.249 · 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

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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