Large Heterogeneities in the Greenland Lithosphere and upper Mantle
Bibliographic record
Abstract
Teleseismic Love and Rayleigh waves recorded by the GLATIS project (Greenland Lithosphere Analysed Teleseismically on the ice sheet) have been analysed for phase velocities using a two-station method. The data set consists of broad band recordings from 19 seismograph stations in Greenland, as well as data from IRIS station ALE in northern Canada. Four of the BB seismographs in Greenland are permanent, the rest are temporary with deployment periods ranging from three months to four years. We have obtained good quality phase velocities for Love and Rayleigh waves in the period range from 25 to 150 seconds for 45 different two-station paths across Greenland. This provides us with information about velocity heterogeneities through the entire lithosphere and covering a large part of central to southern Greenland. An isotropic tomographic inversion was used to combine the phase velocity information from the dispersion curves in order to produce phase velocity maps for Greenland at several different periods. The most significant lateral variation in phase velocity is found at intermediate periods, where a high-velocity anomaly is resolved beneath central-southwestern Greenland, and a low-velocity anomaly is found beneath southeastern Greenland. Results from Love and Rayleigh waves will be compared.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".