MétaCan
Menu
Back to cohort
Record W3106844272 · doi:10.1201/9781003078661-165

Design of an Internet-based geotech-information system for coal mines

2020· book-chapter· en· W3106844272 on OpenAlexaffabout
Delong Zou, Yannan Huang

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCoal miningThe InternetMining engineeringCoalComputer scienceEngineeringWaste managementWorld Wide Web

Abstract

fetched live from OpenAlex

There is a vast amount of information in a mining operation. Effective management of the information can ensure efficient utilization and benefit the organization. This becomes more important when information exchange among users within and/or outside the organization is needed. The rapid development of Information Technology in recent years has revolutionized the way information is managed. A well-designed information system can essentially remove the barriers of organization and location and make the information available at finger tips while maintain the desired security. The authors have recently developed an internet-based geotechnical information system for Canadian underground coal mines: GEOCOAL. It is currently hosted on Dalhousie’s web site and used by the participating organizations. This paper discusses the design of the information system: information categorization, file structure, graphics and mine map utilization, WebPages design, user access and security control. It also gives an outlook on other potential use of the Information Technology in the mineral industry.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.955
Threshold uncertainty score0.924

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)0.0010.000

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 head0.041
GPT teacher head0.199
Teacher spread0.158 · 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 designSimulation or modeling
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

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

Same topicGeological Modeling and AnalysisFrench-language works237,207