Bibliographic record
Abstract
It is my pleasure to write this preface to the Special Section in the May 2023 issue of pss(b), dedicated to the collection of selected works presented during the 35th International Conference on Physics of Semiconductors (ICPS) held in Sydney, Australia in 2022. It was one of the first meetings post the pandemic and it was wonderful to see the community gathering physically together. The ICPS series traditionally encompasses a variety of topics spanning device physics, quantum technologies, spin physics, wide bandgap materials, light–matter interactions, and other branches of materials science, physics and engineering. The collection to follow offers a glimpse into what has been presented, and showcases the excellent science undertaken around the globe. A growing interest in the scientific community is currently evolving around van der Waals crystals, and other two-dimensional systems. It is therefore no surprise, several works focus on these topics – discussing various excitonic, photonic, magnetic, and terahertz properties. Various spin phenomena effects are also discussed in traditional semiconductors such as GaAs/GaN and SiGe. Works on plasmonic gap cavities and electroluminescence as well as theoretical calculations of electronic structures are also included. The ICPS series has been continuously going now for over 70 years, one of the longest running conference series in the world. As we are preparing for the next meeting in Ottawa, Canada, the collection of papers should inspire our junior colleagues, that not only semiconductor physics is here to stay, but in fact, it is a multi-disciplinary and burgeoning field of research.
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.037 | 0.021 |
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".