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Record W2374855887

Application of comprehensive assessment method to fracture prediction of Yingcheng formation stratum of Xujiaweizi fault depression

2005· article· en· W2374855887 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeoscience and Mining Technology
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsStratumGeologyDrillingFault (geology)Fracture (geology)CurvaturePetrologySeismologyGeotechnical engineeringGeometryEngineeringMathematics
DOInot available

Abstract

fetched live from OpenAlex

In this paper, analysis has been made of each factor affecting the fracture development in the deep zone of Xujiaweizi fault depression (Yingcheng formation stratum ), including structural position where the strata are located, fault development, fault fold combination, physical properties of rock and curvature where the structure develops. Comprehensive assessment method is adopted to determine the weight of these influencing factors in prediction, and the result is utilized to discriminate and analyze other blocks in this area, where the fracture development has been predicted. The core description shows that the prediction accords with the results from drilling and observation. This method is practical in predicting the development of stratum fracture.

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: none
Teacher disagreement score0.526
Threshold uncertainty score0.245

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 head0.012
GPT teacher head0.290
Teacher spread0.278 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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