International Conference on Spectral Lines Shapes
Bibliographic record
Abstract
List of Scope, Invited Speakers, International Programme, Local Organising Committee are available in this pdf. 24th International Conference on Spectral Line Shapes (ICSLS 2018) It is commonly accepted that the Europhysics Study Conference on Spectral Line Broadening and Related Topics which was held in Meudon in 1973 was the first in the current series of ICSLS meetings. The ICSLS is a bi-annual conference series and to date has been held at alternating European and North-American conference venues. It is proposed that it move to other continents in future. The most recent venues were Paris, France (2004), Auburn, USA (2006), Valladolid, Spain (2008), St. John’s, Canada (2010), St. Petersburg, Russia (2012), Tullahoma, Tennessee, USA (2014) and Torun, Poland (2016). The 2018 (24th) ICSLS conference took place in Dublin during June 17 - 22, 2018. The ICSLS covers a broad range of topics related to spectral line shape studies, including: line shapes of atomic and molecular transitions in neutral gaseous mixtures, single and multi-photoionisation ionisation processes, high and low temperature plasmas, clusters and helium droplets, nanophotonic processes, spectroscopy of stellar atmospheres and interstellar media, spectroscopy of planetary atmospheres and exoplanets, cold atoms and molecules, collision-induced spectra, processes in laser fields, innovative techniques of line shape applications for diagnostic purposes and fundamental studies with narrow optical resonances along with applications in e.g., industrial, environmental, medical and all other potential domains of interest. The conference includes a mix of invited talks, talks selected from submitted abstracts and poster presentations. List of Conference Photograph and Sponsors are available in this pdf.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.214 | 0.144 |
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".