Bibliographic record
Abstract
Waxman has recently proposed new mechanisms for surface light-induced drift (SLID), which he called “SLID with forced specularity” (christened SLIDWFS here). SLIDWFS was proposed for its potential use in modelling several important physical processes; examples are selective control of spatial distributions of gases, including isotope separation, probing the molecule-surface interaction potential in gas-surface scattering, heterogeneous chemical reactions in catalysis, and laser cooling. Waxman’s cell geometry consisted of a single flat plate; the usual approximations were made in the analysis, and substantial effects (larger than in ordinary SLID) were reported. In the present contribution, we study the more realistic double-flat-plate and circular-cylindrical geometries. We get exact analytical solutions to the model rate equations, with results quite different from Waxman’s. For example, for circular-cylindrical geometry, which is clearly preferable in ordinary SLID, we predict a negligible SLIDWFS effect.PACS Nos.: 05.60.–k, 34.35.+a, 34.50.Rk
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".