Neotectonic and geophysical investigation into the active growth of the Avawatz Mountain Front, California
Bibliographic record
Abstract
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The Avawatz Mountains are an actively growing range near the intersection of the Garlock and southern Death Valley Fault Zones in eastern California. The Sheep Creek Fault (SCF) bounds the northeastern edge of Avawatz Mountains which are uplifting along a shallow, blind reverse fault at the terminus of the Garlock Fault Zone. This study aims to determine structural geometries and growth rates of the Avawatz Mountains and understand how growth relates to other rates of motion in the near region. Neotectonic folding is clearly displayed by Quaternary gravels allowing fold geometry to be constrained using terrestrial-based photogrammetric modeling to quantify bedding geometries. Quaternary deformation is also exhibited in warping of older geomorphic surfaces which were computed by high-resolution topographic surveying, photogrammetric modeling, and fault scarp degradation modeling. The subsurface fault geometry is imaged by a shallow seismic reflection profile. The SCF tip was determined to be ~60 m below the surface with a dip of 51 [degrees] to the south. Throw and horizontal shortening rates along the SCF are 0.23-0.45 mm/yr. and 0.2-0.4 mm/yr. respectively. Throw rates are consistent with known exhumation rates of 0.1mm/yr. (Chinn, 2013) in the Avawatz Mountains signifying that much of the uplift in the Avawatz Mountains is being accommodated by the SCF. However, horizontal shortening rates along the SCF are not comparable with the 5/7mm/yr. (McGill and Sieh, 1993; Bryant, 2000; Evans et al., 2016) of slip along the Garlock Fault, suggesting that most of the strike-slip displacement is accommodated by other structures west of the Avawatz Mountains.
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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 | 0.001 | 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".