SPM Discrimination in Airborne TDEM Data - A Case Study from the Maniitsoq Area, Southwestern Greenland
Bibliographic record
Abstract
Summary SPM effects, which are mainly caused by fine-grained iron particles such as maghemite and magnetite constitute a geological noise in modern airborne transient Time Domain EM (TDEM) systems. Therefore, their identification and discrimination is important when exploring for bedrock conductors associated with metallic mineralisation such as nickel and sulphides. In the transient TDEM data, they are manifested by a power law decay fit at mid-late time close to -1. In this paper, we describe other approaches for identifying and discriminating SPM anomalies observed in the transient TDEM data from Greenland, including a) innovative dual-EM receiver configuration (vertical EM gradiometer), and b) a multiple criteria pattern recognition approach, based on maximum likelihood algorithm. As a result, many SPM-related detected by airborne TDEM surveys were identified and were hence discriminated from further follow-up. Diamond drill testing in 2016 performed on selected targets that were categorized as non-SPM related, has confirmed their link to bedrock conductors and sulphide mineralization.
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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) | 0.000 | 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".