Bibliographic record
Abstract
It is my pleasure to welcome you to Microscopy and Microanalysis 2002, jointly sponsored by the Microscopy Society of America, Microbeam Analysis Society, Microscopy Society of Canada/Société de Microscopie du Canada, and the International Metallographic Society. An excellent program with an outstanding list of invited speakers for symposia has been assembled by the Program Committee consisting of the Chair, Edgar Voelkl, and Co-Chairs, David Piston (MSA), Raynald Gauvin (MAS/MSC), and Allan Lockley (IMS). Highlights of Microscopy and Microanalysis 2002 include the world's largest display of microscopes and related technologies together with outstanding sessions on all aspects of microscopy and microanalysis. Symposia will be held on 3-D electron microscopy of macromolecules and cryo-electron microscopy of macromolecules, the quantitative aspects of X-ray microscopy, confocal microscopy, biomaterials, biological and materials specimen preparation. Special sessions will be held on holography, phase imaging, deep tissue imaging, (S)TEM instrumentation, developments in focused-ion beam instruments and imaging, metallographic specimen preparation from start to finish, and the changing role of atom probe microscopes in the nanotechnology era. Advances in immunolabeling, EELS, and detectors for X-ray microanalysis also will be presented. A special analytical electron microscopy session honoring the work of Elmar Zeitler is also scheduled. A pre-meetingworkshop “Future of Materials Characterization of Charging Materialsusing Microbeam Analysis” organized by Dr. Raynald Gauvin will be held at McGill University in Montreal on August 2–3. The Local Arrangements Committee, headed by Pierre Charest, has coordinated the scheduling of many local events to complement the meeting.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.297 | 0.244 |
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".