Evaluation on Implementation Effect of Global Fund Tuberculosis Control Project five years and Next Year in Changfeng County
Bibliographic record
Abstract
Objective To analysis and evaluate implementation effect of the first round(2003-2007)and next year(2008) global fund tuberculosis control project in t Changfeng County,and provide basis for controlling tuberculosis still better.Methods According to request of implementation plan of global fund tuberculosis project round 1 formulated by Anhui provincial health department,quarter statements and checks were collected for analysis.Results The case detection rate of new smear-positive tuberculosis patients had been risen from 70.29% in previously 5 years to 87.71% in 2008.The rate of sputum from positive to negative for new smear-positive tuberculosis patients after two months had been risen from 83.99% in previously 5 years to 91.48% in 2008;after three months from 87.85% to 94.23%.The cure rate of new smear-positive had been risen from 85.04% in previously 5 years to 87.91% in 2008.Conclusions The tuberculosis control project in Changfeng has already achieved positive results.The discovery and cure rates of new smear-positive tuberculosis patients have been increased,which are contributed by the administrative intervention,promotion of tuberculosis prevention and the implementation of DOTS strategies.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".