A bibliometric analysis of systematic review on tuberculosis at home and abroad
Bibliographic record
Abstract
OBJECTIVE To understand the progress in systematic review on tuberculosis at home and abroad over the last 10years through a bibliometric approach. METHODS Foreign literatures about systematic review on tuberculosis(2002-2011)were searched from the Web of science citation database, and the domestic literatures(2002-2011) were searched through the ISI Web of science citation database and several kinds of Chinese databases. The searching results were analyzed concerning the article numbers and the frequency of citation by publication year, institutions, authors, and periodical distribution.RESULTS Overall 269 foreign literatures and 109 Chinese literatures were found. The number of papers at home and abroad had increased significantly over the two or three years. Developed countries such as USA, Canada, England and Switzerland had played important roles in the systematic review on tuberculosis research in the world. The domestic literatures mainly concentrated in core journals in China. Both the number of literature and the reference frequency were very low. CONCLUSION In the treatment and prevention of tuberculosis, the collection of the best evidence is particularly important. There is a certain gap on this research between China and abroad. China, as a TB high burden country, not only should increase the number of literature, but also ensure the quality of literature.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.044 | 0.249 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.011 |
| Bibliometrics | 0.192 | 0.200 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".