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Record W3007831446 · doi:10.30878/ces.v27n1a5

Evaluación de receptores GPS de bajo costo de alta sensibilidad para trabajos geodésicos. Caso de estudio: línea base geodésica

2020· article· es· W3007831446 on OpenAlexaff
Alejandra Zamora Maciel, Rosendo Romero-Andrade, Carlos Moraila-Valenzuela, Frédérique C. Pivot

Bibliographic record

VenueCIENCIA ergo sum · 2020
Typearticle
Languagees
FieldEnergy
TopicEnvironmental and Ecological Studies
Canadian institutionsAthabasca University
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Se evalúa una línea base geodésica mediante la implementación de antenas y receptores de bajo costo en sistemas embebidos, así como un receptor geodésico de una frecuencia. Estas mediciones fueron ligadas a una estación de referencia continua de la Red Geodésica Nacional Activa, ubicada en Culiacán, Sinaloa, con el objetivo de determinar la precisión de los equipos de bajo costo estudiados. Para ello se analizan las coordenadas y distancias obtenidas al aplicar el método de posicionamiento diferencial con software académico y comercial. Los resultados presentan diferencias de orden milimétrico entre el posicionamiento con un receptor geodésico y uno de bajo costo para una línea base de 5.1 km que hacen posible la utilización de equipos de bajo costo en trabajos geodésicos y topográficos.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.037
GPT teacher head0.273
Teacher spread0.236 · 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 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

Citations3
Published2020
Admission routes1
Has abstractyes

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