Exploration for deep Paleozoic sediments in Uzbekistan using MT: Project “Paleorift”
Bibliographic record
Abstract
To maintain self-sufficiency in oil, Uzbekistan is systematically exploring all oil-prospective basins in the country, including the Bukharo-Khivinsky paleorift (BKP) in central Uzbekistan. The BKP has a prospective area of 14 100 km2 and contains an estimated 63 000 km3 of prospective Paleozoic sediments below gas-producing Mesozoic sediments. The “Paleorift” project (begun in November 2001) is an integrated project comprising ten regional profiles 80-90 km long that will include seismic (using new 3D equipment), MT, gravity, magnetics, and thermometry. The field work began with MT because MT costs less than seismic, is easy and quick to use and interpret, causes minimal disturbance to agricultural land, and is definitive in this application. Uzbekneftegaz has long experience with MT and other electrical methods and routinely uses them before seismic. Approx. 350 MT stations were measured on three of the regional profiles (1 km station spacing) and on two “prospecting” profiles (500 m station spacing) over known Mesozoic gas deposits. The profiles mapped the boundaries of the BKP central graben, a crustal conductor in the north part of the BKP, a gas-producing Jurassic structural high, and a resistivity low associated with the gas deposits.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".