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Record W2151299902 · doi:10.4013/gaea.2009.51.05

Potencialidades do serviço on-line de Posicionamento por Ponto Preciso (CSRS-PPP) em aplicações geodésicas

2009· article· pt· W2151299902 on OpenAlexaboutno aff
Marcelo Tomio Matsuoka, José Luiz Azambuja, Maurício Roberto Veronez

Bibliographic record

VenueGaea - Journal of Geoscience · 2009
Typearticle
Languagept
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsnot available
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

O metodo de Posicionamento por Ponto Preciso (PPP) com a utilizacao de GPS ( Global Positioning System ) vem se popularizando nos ultimos anos, principalmente, com o surgimento de servicos gratuitos e de processamento on-line , tais como, o Natural Resource Canada (NRCan), denominado Canadian Spatial Reference System – Precise Point Positioning (CSRS-PPP). Neste metodo, o posicionamento utiliza dados de somente um receptor e, fundamentalmente, requer apenas o uso de efemerides e correcoes dos relogios dos satelites precisos. Neste artigo, avaliou-se seu desempenho mediante a utilizacao de um longo periodo de dados (1.596 dias), obtidos na estacao POAL da Rede Brasileira de Monitoramento ContInuo (RBMC), localizada em Porto Alegre, RS, Brasil. A analise das series temporais das coordenadas diarias estimadas pelo CSRS-PPP mostraram discrepâncias de poucos centimetros, quando comparadas com os valores oficiais adotados para a estacao POAL. Palavras-chave: GPS, Posicionamento por Ponto Preciso (PPP), servicos on-line de PPP, CSRS-PPP.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.023
GPT teacher head0.280
Teacher spread0.257 · 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 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

Citations5
Published2009
Admission routes1
Has abstractyes

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