Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Displacement flows frequently occur in natural phenomena and industrial applications, e.g., in lung airways, oil well cementing, coating and cleaning of processing machinery. We study experimentally and numerically the effects of a pipe axial rotation on buoyant miscible flows in inclined pipes, while considering three cases of progressively increasing complexity: (i) Newtonian exchange flows (Lyu et al., 2020), (ii) Newtonian displacement flows (Lyu & Taghavi, 2018), and (iii) viscoplastic displacement flows (Lyu & Taghavi, 2020). We show how the flow dynamics is governed by an elegant balance among the characteristic velocities of the flow. We demonstrate that increasing the pipe rotation speed induces transverse mixing and results in a complete removal of the displaced fluid by the displacing fluid, above a critical rotation speed. Our findings offer insights on how to improve displacement efficiency using rotational motion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.010 | 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 it