MétaCan
Menu
Back to cohort
Record W2379152594

Experimental Work on Geological Data and Information Services Cluster in Huangshi City

2012· article· en· W2379152594 on OpenAlex
Zhong Liu

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeoscience and Mining Technology
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsService (business)VisualizationIndustrialisationCluster (spacecraft)Work (physics)Geological surveyData scienceInformation systemGeologyMining engineeringComputer scienceConstruction engineeringData miningBusinessEngineering
DOInot available

Abstract

fetched live from OpenAlex

Huangshi is a typical mining city with active mining economy.The realization of geological data and information services cluster in Huangshi city will enhance the geological data service level and quality for urban construction and visualization technology support.In order to develop technical standards of geological data information services cluster,the experience and the cluster model are summed up,including technology rounte and technical methods,which can used to manager geological data,geological material,geological maps and geological models.Geological data information services cluster and industrialization is a long-term,complex engineering systems,needing to keep the pilot exploration and research.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.134

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 communication0.0000.001
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 head0.026
GPT teacher head0.248
Teacher spread0.222 · 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

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicGeoscience and Mining TechnologyFrench-language works237,207