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
Transmission line matrix (TLM) methods are powerful numerical procedures for modeling electromagnetic fields in the time domain. The theoretical foundations of various TLM methods are well described in the literature, but to develop general purpose simulation software based on the procedures is still a challenging task. The computational electromagnetics industry is by and large responsible for implementing the procedures in commercially available software. However, many open-source and free software packages have been written by researchers; some of these packages also come with a graphical user interface.The finite difference time domain (FDTD) technique and TLM methods are two similar time-domain numerical procedures for modelling electromagnetic fields. Instead of updating the electric and magnetic field quantities as is done in the FDTD procedure, TLM methods update the voltage quantities using a voltage scattering procedure. Electric and magnetic field quantities are not needed to carry out the scattering process; the field quantities of course can be obtained from the voltage quantities if needed.
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 | 0.000 | 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) | 0.000 | 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 it