EXTECH IV Athabasca uranium multidisciplinary study of northern Saskatchewan and Alberta, Part 1: overview and impact
Bibliographic record
Abstract
Fifteen subprojects have evolved within the EXTECH IV project, from data acquisition through interpretation to integration. These subprojects address two goals: 1) improvement of the Athabasca Basin geoscience framework by (a) mapping basement domains and their boundaries, relating uranium ore to reactivation structures and paleovalleys; (b) quantitative litho/sequence stratigraphy across drill camps and six regional deposystems; (c) refinement of alteration vectors to ore; (d) new SHRIMP (Sensitive High Resolution Ion Microprobe) standards for dating uraninite, and detrital U-Pb ages to constrain stratigraphy; (e) seismic imaging of stratigraphy, unconformity and P2 reverse fault zone; (f) paragenesis of organic matter; and (g) GIS databases; and 2) developing EXploration TECHnology (gamma-ray and multiparameter borehole geophysics, seismic reflection, gravity, and magnetotellurics) to calibrate ore, host-rock, and alteration parameters of the world-class McArthur River camp for deep exploration in the Athabasca Basin. Better decision-making, new staking, new ideas, and training of ten young scientists support northern sustainable development.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 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) | 0.003 | 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".