National Uranium Resource Evaluation Program. Regional geochemical model for groundwater associated with uranium mineralization in northwest Texas
Bibliographic record
Abstract
A pilot geochemical survey was conducted in northwest Texas during April, May, and June 1976. The purpose of this work was to prepare for a subsequent reconnaissance geochemical survey of uranium in northwest Texas and western Oklahoma. Stream sediment, stream water, well water, and ash of plants were analyzed for approximately 25 parameters. The samples were collected in the outcrop area of the Blaine Formation, the Whitehorse and Cloud Chief Group, and the Quartermaster Group (all Permian); and Dockum Formation (Triassic); and the Ogallala Formation (Tertiary). The most valuable sample type for identifying potential uranium mineralization in northwest Texas was determned to be well water. Where available, it is the most reliable for outlining both uranium deposits and, at a wider spacing, a potential uranium district. Of the remaining sample types, stream sediment is more readily available than stream water and appears to be more useful in this area. The most useful determinations in groundwater from five potentially mineralized areas are uranium, sulfate, molybdenum, selenium, alkalinity, arsenic, conductivity, and vanadium. This extract of the original paper is restricted to a discussion of well water results.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".