<i>Electron Microscopy,</i> Second Edition, John J. Bozzola and Lonnie D. Russell. Jones and Bartlett Publishers, Inc., Sudbury, MA, 1999, 670 pages (hardback, $56.25). ISBN 0-7637-0192-0
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Electron Microscopy by John Bozzola and Lonnie Russell continues to be a text of choice for instruction in classes that cover beginning electron microscopy for biologists and should also be on the bookshelf of all technologists that work with biological specimens for transmission or scanning EM. The first chapter in the book presents a brief, but interesting, history of the development of instrumentation and techniques for specimen preparation and sets the stage for the wealth of practical information that is presented in the remaining twenty chapters. These chapters are laid out in a logical chronological fashion of exactly what one must do to start with an unfixed specimen and end with a publication quality micrograph.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 it