WIRMS 2009: Fifth International Workshop on Infrared Microscopy and Spectroscopy with Accelerator-based Sources
Bibliographic record
Abstract
Striking growth in the field and spectacular new science were the hallmarks of WIRMS 2009, the Fifth International Workshop on Infrared Microscopy and Spectroscopy with Accelerator Based Sources, which was held September 13–17, 2009, at The Banff Center in beautiful Banff, Alberta, Canada, surrounded by the majestic Rocky Mountains. This was the first time that WIRMS was held in Canada, following successful workshops at Porquerolles (France, 2001), Lake Tahoe (USA, 2003), Rathen (Germany, 2005), and Awaji (Japan, 2007). WIRMS 2009 was chaired by Brant Billinghurst, Tim May, and Luca Quaroni, and was made possible by generous sponsorship from the Canadian Light Source, CanmetENERGY, Bruker, Varian, the Canadian Institute for Synchrotron Radiation, Advanced Design Consulting USA Inc., Blue Sky Spectroscopy, and IUPAC. The 60 participants, from 20 light sources located all over the world, enjoyed four days of scientific talks, discussions, and posters surrounded by some of the continent's most stunning scenery as well as unseasonably beautiful weather.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.012 |
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".