Tuberculosis: A Comprehensive Clinical Reference Edited by H. Simon Schaaf and Alimuddih Zumla Philadelphia, PA: Saunders Elsevier, 2009. 1046 pp. Illustrated. $199.00 (hardcover).
Bibliographic record
Abstract
Tuberculosis is arguably among the most written about diseases in the history of medicine. It reaches far into the past, as there was clear evidence of its existence >5000 years ago, and has received the attention of the Old Testament, Hipocritas, and Gallen. One would not have foreseen, however, that as we approach 2012—the 130th anniversary of Robert Koch's conclusive demonstration of the bacterial cause of tuberculosis—the disease would remain prominent in medical literature. Despite the passage of time and the attention of gifted researchers armed with the latest scientific and molecular weapons, tuberculosis has not given up all its secrets. Those who work extensively in the field of tuberculosis know too well of the many uncertainties that we face in the clinical management of individual cases. The treatment of the disease can, of course, be extremely straightforward in a routine case with a susceptible organism and a willing, cooperative, non-adverse-event-prone patient. Although no new medications have been developed for the control of tuberculosis since the 1960s, it could be argued that case management is becoming increasingly more complex. A new textbook devoted entirely to tuberculosis would therefore be welcomed by the international community of phthisologists.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.071 | 0.104 |
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".