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Record W2937828172 · doi:10.1155/2019/5789152

Mechanism, Cause, and Control of Water, Solutes, and Gas Migration Triggered by Mining Activities

2019· article· en· W2937828172 on OpenAlex

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

VenueGeofluids · 2019
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsUniversity of Toronto
FundersFundamental Research Funds for the Central UniversitiesPriority Academic Program Development of Jiangsu Higher Education Institutions
KeywordsCoal miningChinaMining engineeringEnvironmental scienceGas explosionCoalNatural resource economicsEnvironmental protectionBusinessGeologyForensic engineeringGeographyEngineeringWaste management

Abstract

fetched live from OpenAlex

Although the growth in global coal consumption has been sharply slowed with the falls in China offset to a greater extent by the increasing demand in India and other emerging Asian countries, coal still remains the largest source of energy for the world with a share of almost 30% by 2040 [1]. Mining industry plays an important role in extracting underground resources, including coal [2]. However, a large number of disastrous mine accidents, such as flood, water inrush, tunnel collapse, gas outburst, and gas explosion, have been reported due to water and gas migration caused by the mining activities, posing a threat to the environment and also to the health and safety of field workers [3–5]. According to incomplete statistics, mining-induced accidents kill over thousands of workers around the world every year, especially in developing countries such as China and India. Water inrush and gas explosion accidents are the major causes for the reported mine accidents [6, 7].

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.354

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 head0.007
GPT teacher head0.180
Teacher spread0.174 · 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