Sedimentary thickness from Receiver Function analysis - a simple approach. Case study from North Greenland.
Bibliographic record
Abstract
Case study: A series of stations provide information on the crustal structure of the North Greenland. The thickness of the sediments in the Franklinian Basin is largest to the north where the basin is observed on the offshore. At the coast the thickness is a few km, and further south at the southern verge of observed rocks from the Franklinian basin the thickness is smaller than we can analyse ‐ presumed less than 500m. The depth to Moho thins towards northwest; from typical values for a shield area to half t he thickness at the coast. In the Wandel Sea Strike-Slip Mobile Belt we find a several km thick high velocity sedimentary basin. The thickness of Proterozoic sediments of the Thule Basin can be interpreted in good agreement with earlier geological estimates. Further south, on the NW coast of Greenland we see no indication of a sedimentary basin. The only inland station in this study is situated on 2.5 km thick icesheet. Treating the ice as a sedimentary layer allows the depth to Moho to be estimated in spite of the very strong reverberations from the 2.5 km thick ice layer.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".