MétaCan
Menu
Back to cohort
Record W4415785703 · doi:10.52209/1609-1825_2022_4_149

Geomechanical Substantiation of the Parameters of the Zhaman-Aybat Field Development System

2022· article· W4415785703 on OpenAlexaboutno aff
М. Zh. Balpanova, Madiyar ZHARASPAYEV, Abzal Zhienbayev, Daniyar TAZHIBAEV

Bibliographic record

VenueTrudy Universiteta · 2022
Typearticle
Language
FieldEngineering
TopicMining and Gasification Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRoofComputer simulationStability (learning theory)Process (computing)Finite element methodDevelopment (topology)

Abstract

fetched live from OpenAlex

The article deals with the issues of geomechanical justification of permissible roof spans of chambers at the Zhaman-Aybat deposit. The actual statistical data and analyses for the primary and secondary extraction of ore reserves are presented. A physical model of the process of destruction of the immediate roof is selected. A calculation scheme has been developed for numerical simulation of the stability of the thin-layered roof of the treatment chambers. The simulation was carried out using the Phase 2 program (RocScience, Canada). The simulation shows the roof stratification due to the difference in the displacements of different layers. Numerical modeling has shown that reducing spans is an effective way to ensure the stability of the roof of the chambers, which, as shown by the 12-year experience of the Jomart mine, is the weakest element of the development system in these mining and geological conditions

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.013
GPT teacher head0.166
Teacher spread0.154 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueTrudy UniversitetaSame topicMining and Gasification TechnologiesFrench-language works237,207