Bibliographic record
Abstract
Tuberculosis is an ongoing major public health problem on a global scale. One of the striking features of the disease is that only an estimated 10% of immunocompetent persons infected by the causative pathogen Mycobacterium tuberculosis will develop clinical signs of disease. This well-established epidemiological observation has prompted an intense search for the factors that trigger advancement of infection to disease in the small proportion of susceptible individuals. Central to this search is the questions if tuberculosis patients are inherently susceptible to the disease or if disease development is promoted by specific environmental factors. It is known that genetic and non-genetic factors of both the bacterium and the host have impact on the host response to M. tuberculosis. Yet, little is known about the interaction of these different factors and the resulting impact on disease development. Recent work suggests that in addition to common host susceptibility genes a second group of susceptibility loci exists the action of which strongly depends on the individual's clinical and exposure history. The latter genes may have a very strong effect on promoting advancement from infection to disease only in specific epidemiological settings. These findings suggest that a more detailed knowledge of gene-environment interactions in tuberculosis is necessary to understand why a small proportion of individuals are susceptible to the disease whilst the majority of humans are naturally resistant to tuberculosis.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".