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Record W2185709469

DEVELOPMENT OF NETWORK-BASED GISERVICES IN SUPPORT OF ONLINE GEOCOMPUTING

2000· article· en· W2185709469 on OpenAlexaff
Vincent Tao, Shuxin Yuan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Database Systems and Queries
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeoprocessingComputer scienceDistributed GISWeb serviceWeb Coverage ServiceDatabaseWorld Wide WebThe InternetService (business)AM/FM/GISGeographic information systemComputer networkWeb mappingWeb serverGeographyGIS applicationsCartography
DOInot available

Abstract

fetched live from OpenAlex

GIS services can be classified into geodata services and geoprocessing services. Most on-line GIS service systems provide centralized geodata services based on a client/server computing architecture. However, in many cases, geodata are stored and managed on the client side and clients only require GIS function tools to process their data, for example, tools for data conversion, map projection or data editing. In this paper a new approach to supporting on-line geoprocessing is proposed. A distributed geoprocessing service model is designed based upon a open object architecture. It allows users to assemble, access or “rent” geoprocessing components that are distributed across a network via any standard browsers. With this model, both distributed data and GIS processing recourses can be integrated in a way that users are able to access GIServices on the Internet.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.828
Threshold uncertainty score0.265

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)0.0000.000

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 head0.016
GPT teacher head0.256
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreMethods

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
Published2000
Admission routes1
Has abstractyes

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