Unconformity surface architecture of the northeast Thelon Basin, Nunavut, derived from integration of magnetic source depth estimates
Bibliographic record
Abstract
Abstract Exploration for unconformity-associated uranium deposits requires detailed 3D knowledge of the depth and morphology of the unconformity surface. Modifications of the unconformity surface by reactivated intersecting faults and favorable basement lithology are key parameters when attempting to vector toward potential deposits. In the absence of seismic reflection and closely spaced drill data, high-resolution aeromagnetic data can provide surprisingly detailed 3D constraints through the use of source depth routines. Such routines are applied to the northeastern part of the Thelon Basin, termed the Aberdeen Subbasin, in Nunavut. This region is considered prospective for unconformity-associated uranium deposits. Deposits have so far been discovered adjacent to the subbasin where they are hosted by structurally complex Neoarchean and early Paleoproterozoic supracrustal rocks. We determined the morphology of two unconformity surfaces by combining the outputs from multiple analyses of high-resolution aeromagnetic data: three semiautomated depth estimation routines (Werner deconvolution, Euler deconvolution, and source parameter imaging) and two potential field inversion procedures. Confidence in depth estimates was increased by combining the output of individual source depth algorithms. Results were integrated with previously mapped fault displacements, seismic refraction profiles, boreholes, and outcrop geology around the subbasin perimeter. An integrated pseudo-3D source depth estimate of the unconformity surface is presented as twenty-three north–south profiles. The revised model of the upper unconformity surface, the base of the Thelon Formation, shows a complex set of stepped blocks bounded by four major intersecting fault arrays with approximate offsets ranging from tens to hundreds of meters.
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 | 0.001 |
| 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 | 0.000 |
| 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".