EXTECH IV Athabasca uranium multidisciplinary study of northern Saskatchewan and Alberta, Part 3: current results of subprojects 6, 6a, 7, 9, 10, and 11
Bibliographic record
Abstract
Fifteen subprojects aim to enhance the geoscience framework and EXploration TECHnology to calibrate typical ore, host-rock and alteration parameters of the world-class McArthur River camp as an aid to uranium exploration in the Athabasca Basin and elsewhere. Subprojects 6, 6a, 7, 9, 10, and 11, reported on here, are a blend of exploration technology with some framework elements, as follows: 6, 6a) calibration and interpretation of enigmatic U-K-Th domains and of a ribbon-shaped K-U anomaly in high-resolution airborne NATGAM (National Gamma-Ray Spectrometry Program) data; 7) mineralogical refinement of alteration vectors to ore and calibration of a new field infrared spectrometric device; 9) magnetotelluric imaging of conductive and altered zones; 10) gravimetric detection of basement highs and alteration zones; and 11) detrital-zircon and basement geochronology by SHRIMP (Sensitive High Resolution Ion Microprobe), documenting provenance of deposystems and timing of Paleoproterozoic basin development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".