Inversion of Airborne Data for Three-Dimensional Conductivity, Chargeability, and Magnetic Properties Models in Wawa, Ontario, Canada.
Bibliographic record
Abstract
Summary Modern airborne surveys simultaneously collect electromagnetic (EM) and total magnetic intensity (TMI) data. Three-dimensional inversion of all collected data provides important information about the geology in the survey area. In this paper, we present the results of the inversion of VTEM and TMI data collected over the Echum Project Area, 54 km ENE of Wawa in Northwestern Ontario, Canada. We have inverted the VTEM dB/dt data into 3D conductivity and chargeability models and the TMI data into both 3D magnetic susceptibility and 3D magnetization vector (remanent magnetization) models. Obtaining multiple 3D physical properties models from a single airborne geophysical survey maximizes the data value and provides more intuitive interpretation than using data maps and other transformed products. Several drilling targets were developed based on the results of this 3D interpretation.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".