Estimating remanent magnetization of Matachewan and Sudbury mafic dikes in the Abitibi greenstone belt from aeromagnetic data
Bibliographic record
Abstract
Magnetic surveys involve measuring the response of the total magnetization in rocks. Total magnetization is the vector sum of induced and remanent magnetization. It is common to overlook remanence and assume induced magnetization is dominant during interpretation and modeling. This case study estimates remanence directions of ten mafic dike anomalies in the Abitibi greenstone belt from aeromagnetic data using a magnetization vector inversion and statistical magnetic susceptibility data methodology. The average remanent magnetization is separated from total magnetization vector inversion models by assuming a magnetic susceptibility distribution. Despite a wide range of estimated remanent magnetization directions, the results provide insights for geological interpretation. Eight anomalies exhibit significant remanence in different directions from the inducing field, some aligning with average paleomagnetic directions. However, the study emphasizes the inherent ambiguity and non-uniqueness of the remanence estimation methodology, presenting challenges even for isolated, compact, and steeply dipping sources.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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 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".