Bibliographic record
Abstract
Tuberculosis (TB) is a preventable infectious disease that can be treated and cured, yet globally it claims a staggering 1.4 million lives every year and remains one of the world’s deadliest infectious diseases. While the overall rate of TB is low in in this country, the disease disproportionately affects Canadian communities that experience higher rates of poverty, crowded living conditions, and poor access to health care. World TB Day on Wednesday, March 24 is a global public health campaign marked by WHO and millions of others to raise awareness of the TB epidemic. In view of the evolving evidence landscape and to meet the needs of pan-Canadian decision-makers, CADTH has undertaken its first condition-level review on the topic of TB. Rather than assess a single diagnostic test or therapy, we are supporting the overall managementof TB along the continuum of care by delivering evidence on a range of technologies that span prevention, identification, treatment, and management.
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 | 0.019 | 0.043 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.014 | 0.017 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.038 | 0.045 |
| Insufficient payload (model declined to judge) | 0.092 | 0.035 |
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".