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Record W4251681398 · doi:10.1002/9780470057339.vnn121

Geomatics Engineering

2012· other· en· W4251681398 on OpenAlex
Spiros Pagiatakis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEncyclopedia of Environmetrics · 2012
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsYork University
Fundersnot available
KeywordsGeomaticsGeospatial analysisGeographyGeographic information systemVariety (cybernetics)Data scienceFrame (networking)EngineeringComputer scienceCartographyRemote sensingArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Geomatics engineering is the modern term used to describe the group of related disciplines that collect, analyze, manage, and display a wide variety of geographic information, including digital imagery and satellite‐based position coordinates. Geomatics engineers use their knowledge of science, measurement technology, and engineering to solve complex real‐world problems. The key element in all geomatics applications is the common frame or grid to which all diverse data are referenced. Geomatics engineering applications touch every aspect of our daily lives but most importantly contribute significantly to the socioeconomic development, sovereignty, health and safety, and the environment of every country that has adopted a modern geospatial database.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.767
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0270.001

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 head0.009
GPT teacher head0.174
Teacher spread0.165 · 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