Recovering a thin dipping conductor with 3D electromagnetic inversion over the Caber deposit
Bibliographic record
Abstract
Summary Airborne time-domain electromagnetic (EM) data were collected in 2012 over the Caber volcanogenic massive sulfide (VMS) deposit in western Quebec. We inverted the data in three-dimensions (3D) to produce a conductivity inversion model that helped image the thin dipping conductor and surrounding geology. The 3D inversion method consisted of a two-step approach. The first step employed a parametric inversion to recover a best-fitting shape of the dipping conductor using only data exhibiting an anomalous response over the deposit. With the parametric result as an initial and reference model, the second step used a conventional 3D EM inversion with data locations over the entire survey area. The second stage allowed for fine tuning of the shape and conductivity of the central dipping anomaly, while filling in features, such as overburden, in the remaining areas of the domain. The shape of the central conductive anomaly in the 3D inversion compared well with the known outline of the Caber deposit, based on geologic knowledge from past drilling. The overburden layer in the inversion model also agreed with previous geologic mapping. Preliminary results from this two-stage process show that it possible to recover a thin, dipping conductor with sharp boundaries through 3D EM inversion, which has been a difficult challenge in recent years.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".