Bacteriophages : The Good Side of the Viruses
Bibliographic record
Abstract
Bacteriophages or phages are bacterial viruses that are known to invade bacterial cells and, in the case of the lytic phages, impair bacterial metabolism, causing them to lyse. Since the discovery of these microorganisms by Felix d’Herelle, a French-Canadian microbiologist who worked at Institut Pasteur in Paris, Bacteriophages begin to be used in the treatment of human diseases, like dysentery and staphylococcal skin disease. However, due to the controversial efficacy of phage preparations, and with the advent of antibiotics, commercial production of therapeutic phage preparations ceased in most of the Western world. Nevertheless, phages continued to be used as therapeutic agents (together with or instead of antibiotics) in Eastern Europe and in the former Soviet Union. Therefore, there is a sufficient body of data that incite the accomplishment of further studies in the field of phage therapy.
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 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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.014 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 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; both teacher heads 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".