Additional file 1 of The association of spirometric small airways obstruction with respiratory symptoms, cardiometabolic diseases, and quality of life: results from the Burden of Obstructive Lung Disease (BOLD) study
Bibliographic record
Abstract
Additional file 1. Table S1. Pooled estimates for the association between spirometric small airways obstruction and respiratory symptoms in the BOLD study. Table S2. Pooled estimates for the association between spirometric small airways obstruction and cardiometabolic diseases in the BOLD study. Table S3. Pooled estimates for the association between spirometric small airways obstruction and physical and mental scores of quality of life (QoL) in the BOLD study. Table S4. Pooled estimates for the association of spirometric small airways obstruction with respiratory symptoms, cardiometabolic diseases and quality of life in never smokers from the BOLD study. Table S5. Pooled estimates for the association between small airways obstruction and cardiometabolic diseases among participants with normal FVC in the BOLD study. Table S6 and S7. Pooled estimates for the association of FEV3/FVC (%) and FEF25–75 (L/s) with respiratory symptoms and cardiometabolic diseases in all participants and those with a normal FEV1/FVC ratio.
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 | 0.003 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.826 | 0.088 |
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".