Drilling of Wells for the Extraction of Precious Metals in the Polymetallic Deposit of Bolnisi Municipality
Bibliographic record
Abstract
Wells for the extraction of precious metals at the poly deposit of Bolnisi municipality are drilled with EPIROC Christensen 140 Crawler Tier III and Atlas Copco Christensen CS 140 drilling rigs. In order to reduce the time required for lowering and removing the drill pipes and to remove the core qualitatively, without loss, and quickly, the Canadian detachable coring gun is used. Drilling wells is produced with CR-650 polymer powder (polyacrylamide) based drilling polymer solution, which, along with the removal of the drilled rock particles, lubricates and cools the drilling tools, and also prevents muds from hardening and, therefore, narrowing of the wellbore and jamming of the drill pipes. When drilling a well in fractured rock, a buffer solution is used to prevent absorption of the drilling fluid. The use of the above-mentioned modern methods has significantly improved the working time balance and technical-economic indicators of drilling.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 0.001 |
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".