Evaluation on Relevance of Factors Affected to Seam Gas Content in Daning-Jixian Area
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Bibliographic record
Abstract
In order to determine primary factors affected to the difference distribution of the seam gas content in No.5 seam in Daning-Jixian Area,based on the geological factors affected to the comprehensive selected gas content,a grey relevant analysis method was applied to quantitatively analyze the influence degree of each geological factor affected to the gas content distribution.The results showed that the relevance degree of each influence factor and gas content was 0.512 55~0.843 29 and was over 0.5.Among those,the relevance degree of the underground water mine ralization was max and the relevance of the other factors would be less different.The results showed that the primary geological factors in the area would be favorable to the formation of the No.5 seam high gas features,the primary factors of the gas content difference distribution would be the hydrogeology conditions under the structure role control and the control role of the other factors would not be obvious.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it