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Comparación de la metodología utilizada para el cálculo de los parámetros orbitales en los Centros de Análisis del Servicio GNSS Internacional (IGS)

2014· article· es· W1981813610 on OpenAlexfundno aff
Gonzalo Barderas, C. Romero Plaza, P. Romero

Bibliographic record

VenueFísica de la Tierra · 2014
Typearticle
Languagees
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric AdministrationNatural Resources CanadaJet Propulsion LaboratoryMassachusetts Institute of TechnologyLa Rochelle UniversitéFederal Office of Topography swisstopoU.S. Naval ObservatoryCentre National d’Etudes SpatialesHelmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZWuhan University
KeywordsGNSS applicationsGLONASSGlobal Positioning SystemGeodesyPrecise Point PositioningOffset (computer science)Orbit (dynamics)SatelliteGeographyOrbital elementsComputer sciencePhysicsTelecommunicationsEngineeringAerospace engineeringAstrophysics

Abstract

fetched live from OpenAlex

The orbital information given in the form of Ultra-Rapid Orbits (IGA and IGU), Rapid Orbits (IGR), and Final Orbits (IGS), as well as the Earth rotational parameters and the clock offset provided by the International GNSS Service plays an important role in supporting the Global Navigation Satellite Systems GPS and GLONASS. In this paper, we compare the observables, the force models, the adjustment methods and the numerical integration procedures applied by the different International GNSS Service Analysis Centers for the orbital parameter determination.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.298
Teacher spread0.287 · 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.

Study designObservational
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
Published2014
Admission routes1
Has abstractyes

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