“Casino V2.0 : An Advance Simulation Tool for Scanning Electron Microscope Users”
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
Abstract The topic of this paper is to present a new Windows™ environment version of the CASINO Monte Carlo program. The goal of this program is to assist scanning electron microscope users in their routine analysis and also in more advanced topic such as electron beam lithography for example. Based on a single scattering algorithm, this software is specially designed for low beam interaction in a bulk and thin foil. This program uses tabulated Mott elastic cross-sections, which benefit of both fast calculation and accurate interaction at low beam energy. At the moment CASINO can either be used to generate X-rays or backscattered electron signals. The program used simple two-dimension geometry to represent real sample. in this version, vertical and horizontal planes can be generated to allow cross-section representation or multi-layers analysis. Then beam can be scanned across different regions to produce X-ray linescan or bascattered electron profiles. Many new convenient features have been added to the version 2.0 of CASINO. The new interface lets the users to consult the results as the simulation is still in progress.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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