Circumpolar Surveillance of Tuberculosis: Free Papers
Bibliographic record
Abstract
The International Circumpolar Surveillance Tuberculosis Working Group (ICS-TB) initiated a review of tuberculosis (TB) notifications in order to describe the epidemiology of TB in circumpolar regions.The objective was to compare TB incidence rates, assess disease trends, and measure levels of drug resistance and treatment outcomes across circumpolar regions.METHODS: Formal agreements between the Public Health Agency of Canada, custodian of the data, and nine ICS-TB jurisdictions [Canada (Northwest Territories, Nunavik, Nunavut, Yukon), Greenland, Norway, Sweden, Russian Federation (Arkhangelsk), United States (Alaska)] were signed.A common case definition and core data elements to be collected were established.All active TB cases reported from 2006 to 2012 that met the case definition were analysed.Crude incidence rates and mean ages were calculated.Proportions of cases that were male, sputum smear positive pulmonary, multidrug resistant and had completed treatment (uptake !80% doses) were calculated.
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 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.015 | 0.023 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".