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Record W2320722265 · doi:10.2514/6.2007-3182

A Near-Term Solution to Providing Flexibility in Multi-Beam Communications Payloads

2007· article· en· W2320722265 on OpenAlexafffund
Tony Stajcer, Jenny Tian, Trevor Jones, Alireza Shoamanesh, Alastair Malarky

Bibliographic record

Venue25th AIAA International Communications Satellite Systems Conference (organized by APSCC) · 2007
Typearticle
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsCOM DEV International
FundersCanadian Space Agency
KeywordsTerm (time)Flexibility (engineering)Computer scienceBeam (structure)TelecommunicationsPhysicsOpticsMathematics

Abstract

fetched live from OpenAlex

ACM = Adaptive Coding and Modulation BSS = Broadcast Satellite Services CONUS = Contiguous United States DVB-S2 = Digital Video Broadcasting Standard – Satellite (2 Generation) EIRP = Equivalent Isotropic Radiated Power FCC = Federal Communications Commission FSS = Fixed Satellite Services G/T = Figure of Merit (Antenna Receive Gain/ System Noise Temperature) HPA = High Power Amplifier MSS = Mobile Satellite Services PFD = Power Flux Density

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.004
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0180.007

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 head0.097
GPT teacher head0.337
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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
Published2007
Admission routes2
Has abstractyes

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