К вопросу об использовании полимерных материалов в строительстве подземных сооружений
Bibliographic record
Abstract
The aim of the research was to develop a combined lining that would ensure long-term operation of underground workings in the chemical attack and high pressure groundwater. The problem of protection of groundwater is of particular importance for the mountain enterprises engaged in production of potash. Over the past 100 years in the world (Germany, Canada, Russia, and others.) Were flooded, more than 80 potash mines, including in Russia mines BKRU-3 (1986) and BKRU-1 (2006) Verkhnekamskoye occurrence. The most commonly used lining of iron tubing does not provide the desired water resistance and durability. Disadvantages of steel lining supports identified based on the analysis of the experience of their application in Russia and abroad. The authors proposed a combination lining which consists of several layers of concrete or reinforced concrete and a waterproof layer of fiberglass. High strength, resistance to aggressive environments, the ability to provide complete waterproofing under relatively high cost of determining the benefits of the proposed lining. Calculations have shown that under certain conditions, the proposed construction of lining can effectively replace expensive cast-iron lining and steel lining.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".