Evolution of Bacterial Vaccines: from Pasteur to Genomics
Bibliographic record
Abstract
Estudio recapitulativo- Evolución de las vacunas bacterianas: de Pasteur a la genómica. La vacunación contra bacterias ha presentado una serie de desafíos y en los últimos años se han logrado avances importantes. La vacunología convencional ha brindado protección a la avicultura comercial durante décadas con vacunas bacterianas muertas y atenuadas. Debido a las limitaciones de estas vacunas y considerando los últimos avances tecnológicos, se han desarrollado otros tipos de vacunas utilizando diversas estrategias. También se están comercializando nuevas vacunas utilizando vectores recombinantes virales o bacterianos o en forma de vacunas subunitarias desarrolladas mediante un enfoque genómico y por análisis bioinformáticos. Como las bacterias son microorganismos en constante evolución, no hay duda de que las estrategias de vacunación que previenen las enfermedades bacterianas también evolucionarán y que aún están por llegar nuevas generaciones de vacunas.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".