Global initiative for asthma: 30 years of promoting evidence‐based asthma care
Bibliographic record
Abstract
Global initiative for asthma: 30 years of promoting evidence-based asthma care Asthma is a serious global health problem affecting all age groups.Its prevalence is increasing in many countries, especially among children. 1 The Global Initiative for Asthma (GINA) was established in 1993 by the National Heart, Lung, and Blood Institute and the World Health Organization, with the aims of increasing awareness of asthma and translating scientific evidence into improved asthma care worldwide.2 In 2023, GINA celebrates 30 years of working to improve the lives of people with asthma around the globe. 1 | WHAT WE DO GINA works with healthcare professionals, researchers, patients, and public health officials around the world to reduce asthma prevalence, morbidity, and mortality.GINA's strategy and program of work is guided by a Board of Directors and committees made up of leading asthma experts and patient representatives from around the world.GINA is an independent organization funded solely through sale and licensing of its educational publications.
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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 | 0.057 | 0.064 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.006 | 0.015 |
| Research integrity | 0.008 | 0.021 |
| Insufficient payload (model declined to judge) | 0.015 | 0.009 |
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".