Experimental Studies of Gas-Escape and Water-Escape Structures: Mechanisms and Morphologies
Bibliographic record
Abstract
Abstract Water-escape and gas-escape structures were generated in the laboratory to assess variations in deformational structures generated during these events. Particulate fluidization was observed to be the method by which grains were redistributed during water escape. Resulting structures of particulate fluidization comprised disrupted and downward-deflected primary laminations, and a massive-appearing column of sand above the point source. Gas experiments, with a low flow rate (6.167 × 10−6 m3/s) allowed gas to disperse through fractures, and only subtle deformation was achieved. Aggregative fluidization (i.e., fluid movement through sediment as bubbles) was the mechanism for grain displacement during gas escape. With increased flow rate (7.67 × 10−5 m3/s) aggregative fluidization occurred and particles were carried upward in the wake of the passing gas bubble. Aggregative fluidization resulted in broken, upwards-warping laminations and convoluted bedding. Experiments illustrate a significant morphological difference between water escape and gas escape. Water-escape structures were bounded by downwards-warping laminations, consistent with water-escape structures encountered in the rock record. Gas-escape structures displayed upwards-warping laminations, and could represent a formation mechanism for convolute bedding.
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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 | 0.001 |
| 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".