Lithospheric density variations and Moho structure of the Irish Atlantic continental margin from constrained 3-D gravity inversion
Bibliographic record
Abstract
A 3-D density anomaly model of the Irish Atlantic continental margin was generated from a regional inversion of the free air gravity data constrained by bathymetric and sediment thickness information. The model results are compared against a recent regional Moho structure compilation from velocity models from crustal-scale wide-angle reflection/refraction surveys. Using the inverted model, a regional map of Moho structure across the margin agrees well with the regional seismic compilation and also provides information in areas lacking deep seismic coverage. The density anomaly structure of the crust across the margin is investigated along model slices and using volume rendering of crustal layers. These views reveal extreme thinning,of the upper crust and a dominance of lower crustal densities in regions where exhumation of,serpentinized mantle has previously been interpreted. Using the regional view afforded by, the,inversion, the areal extent of these zones is tracked into regions lacking seismic constraints. Using the regional density anomaly model, variations in sediment thickness and crustal thickness are investigated to compute stretching factors across the margin and to identify zones,which deviate from local isostatic compensation. These zones generally correlate with faults,and rifting trends providing insights that could be useful for future palaeoreconstructions of North Atlantic rifting.
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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 | 0.000 | 0.000 |
| 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".