Spreading of point‐source liquid spills in a thin rectangular packed bed under simulated marine conditions
Bibliographic record
Abstract
Abstract Two‐dimensional visualizations of point‐source liquid spills in porous media were performed in a flat rectangular packed bed, emplaced on a robotized hexapod, to emulate roll/pitch marine oscillations. The extent to which the directional modulation of liquid gravity and the moving‐bed inertial forces affect the liquid spills was the study's central aim. Spill morphology deviations were dictated by gravity force oscillations, while Coriolis/Euler/centrifugal forces were confined to secondary roles. Multiple gravity‐driven liquid branching with departures from the longitudinal direction, not only boosted wetting but also symmetrized the developing spills while suppressing the wall‐biased liquid influx, which impaired inclined beds. Wetting exhibited asymmetric sigmoidal deceleratory transients, reminiscent of many physicochemical transformations with skewed activation energy distribution. The parameters describing the dispersive kinetics and allied activation energy distribution of wetting—analogized to a phase change transition—were interpreted in terms of hexapod kinematic parameters.
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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".