Bibliographic record
Abstract
At the beginning of the 20th century, illnesses caused by infectious agents ranked among the most common causes of death in North America and, indeed, worldwide. By the middle of the century, dramatic advances in the diagnosis, management and prevention of infectious diseases had occurred, and hopes were raised that many infectious diseases would be eliminated by the end of the 20th century. Much of this success in the management of infectious diseases was related to a continuous new armamentarium of antibiotics. The discovery of penicillin by Fleming in 1928 followed by the discovery and clinical use of sulphonamides in the 1930s heralded the age of modern antibiotherapy (1,2). Penicillin came into widespread use during the early 1940s. By the 1950s, the ′golden era′ of antibiotic development and use was well underway, and multiple new classes of antibiotics were introduced over the next two decades (Table 1) (3).
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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.007 | 0.019 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".