Improving TRANS4D’s model for vertical crustal velocities in Western CONUS
Bibliographic record
Abstract
Abstract The “Transformations in Four Dimensions” (TRANS4D) software was developed to enable geospatial professionals and others to transform 3-D positional coordinates referred to one date to corresponding positional coordinates referred to another date. For this purpose, TRANS4D incorporates 3-D crustal velocity models for most of the United States and Canada. In this report, an improved model for the vertical velocity field of that part of the conterminous United States that resides west of longitude 107°W is introduced. A new estimation process was employed so that this newer velocity field would have a spatial resolution of 0.0625° × 0.0625° in latitude and longitude, whereas the spatial resolution of TRANS4D’s previous model for this area was 0.25° × 0.25°. The realized improvements benefited from the inclusion of repeated geodetic data at approximately 1300 new locations and from the longer time spans of repeated geodetic data at other locations. After removing that part of the current vertical velocity field due to the glacial isostatic adjustment associated with the Last Glacial Maximum, features of the remaining vertical velocity field are discussed in terms of ongoing geophysical processes. These processes include subduction in the Pacific Northwest, uplift along the San Andreas Fault System, and subsidence due to groundwater extraction in California’s Central Valley. They also include uplift within both the Yellowstone Caldera and the Long Valley Caldera, uplift near Hebgen Lake in Montana, and subsidence near Lassen Peak Volcano in California.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".