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Record W6974364605 · doi:10.5880/isg.2004.001

The Mexican gravimetric geoid: GGM04

2004· dataset· en· W6974364605 on OpenAlexaboutno aff

Bibliographic record

VenueGFZ Data Services · 2004
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGeoidGeopotentialTerrainReference frameDigital elevation modelSatelliteComputationUndulation of the geoidGravity anomaly

Abstract

fetched live from OpenAlex

GGM04 is the first gravimetric geoid model for Mexico computed by INEGI on 2004 (GGM stands for Geoide Gravimetrico Mexicano). The main input of terrestrial gravity data included 100,000 points inside Mexico and nearly 400,000 more over neighboring countries, all unfiltered. The source for this dataset was INEGI, PEMEX and US-DMA. Marine gravity was derived from Topex/Poseidon altimetry. The used digital terrain models were Mexico-CEM1, US-NED and SRTM. A reference satellite geoid model was also used up to degree and order 40 from the geopotential model GRIM4-S4. The computation methodology was based on the Stokes-Helmert technique with the software provided by the University of New Brunswick (UNB, Canada). The resulting GGM04 model is referred to the GRS80 reference ellipsoid in the ITRF92 frame (epoch 1988.0). The error RMS of geoidal heights is 58 cm, estimated from 1377 GPS/leveling data. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.062
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0200.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.045

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 head0.032
GPT teacher head0.310
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2004
Admission routes1
Has abstractyes

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