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Record W2349363805

Effect of Hydrogeological Conditions on Low-Rank Coalbed Methane in Tuha and Santanghu Basins

2013· article· en· W2349363805 on OpenAlexaboutno aff
Zhijun Li, Xinning Li, Hui Liang, Wang Ruiying

Bibliographic record

VenueXinjiang shiyou dizhi · 2013
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsCoalbed methaneHydrogeologyStructural basinGeologyAridCoalDrainage basinCoal miningMining engineeringHydrology (agriculture)GeomorphologyGeotechnical engineeringGeographyCartographyArchaeologyPaleontology
DOInot available

Abstract

fetched live from OpenAlex

In the process of low-rank coalbed methane(CBM) enrichment and accumulation,hydrogeological condition is one of the main control factors,which is crucial to affect coalbed methane conservation,migrating and development.This paper analyzes coalbed hydrogeological characteristics of Tuha and Santanghu basins,makes comparisons with the similar basins abroad,and suggests that because the climate in northwestern China was arid since Quaternary,the hydrogeological conditions of coal in Tuha and Santanghu basins were generally poor,dry coal seams similar to Alberta basin in Canada were then formed,which greatly influenced the formation of CBM.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.420

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 head0.005
GPT teacher head0.213
Teacher spread0.208 · 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 designBench or experimental
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

Citations5
Published2013
Admission routes1
Has abstractyes

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