Canning Basin, Western Australia - Insights from public airborne electromagnetic data
Bibliographic record
Abstract
A number of public airborne electromagnetic (AEM) datasets are available in the Southern Canning Basin, including the West Canning Basin - Sandfire, Lagrange, Paterson North and more recent AusAEM TEMPEST surveys. AEM surveys in the area have been flown for hydrogeological mapping, general geological mapping and mineral exploration. Numerous deep petroleum wells and seismic lines are available, which provide very useful constraints on interpretation of the AEM data at depth. The environment is sometimes very favourable for AEM, with extensive flatlying sediments and regional conductive horizons such as the Jarlemai Siltstone and the Upper Permian unconformity which are good electromagnetic targets. Reliable depths of investigation in excess of 500 m are possible with AEM in places, where extensive conductive horizons such as the Upper Permian are overlain by poorly to moderatelyconductive sediments. The electromagnetic data provides an excellent image of the upper few hundred metres of the earth, and is complementary to the seismic data which often provides limited information within this depth range.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".