Welcome form the Program Committee
Bibliographic record
Abstract
Microscopy and Microanalysis 2006 will be the premiere meeting of the year for scientists and technologists interested in learning about the latest advances in applications and techniques for the analysis of a broad range of materials in the biological and physical sciences, as well as nano- and bio-technology. M&M-2006 will again host the largest commercial exhibition of microscopy and microanalysis equipment and related accessories in the world. In addition to the usual sponsoring societies, the Microscopy Society of America (MSA), and the Microbeam Analysis Society (MAS), the International Metallographic Society (IMS) will again be a co-sponsoring society for the meeting. We are also fortunate that the Microscopical Society of Canada/Société de Microscopie du Canada (MSC/SMC) will also be co-sponsoring the meeting this year. The M&M-2006 Executive Program Committee, comprised of co-chairs from each of the sponsoring societies, has put together a comprehensive scientific program that will encompass the state-of-the art in microscopy and microanalysis in 2006, and we look forward to welcoming you to Navy Pier!
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.496 | 0.417 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".