Abstracts from the 6th Respiratory Effectiveness Group Summit, 18–20 March, 2021
Bibliographic record
Abstract
PP01Rationale: In a recent report (1) control status by clinical criteria (CC) was noted to be a better predictor of exacerbations compared to the COPD Assessment Test (CAT) criteria and that control was more likely to be achieved using clinical compared to CAT criteria.In the present report we describe medication use and COPD control based on clinical and CAT criteria.Methods: This is a post-hoc cross-sectional analysis of data of the REG control prospective international study.A total of 307 patients were analysed (mean age 68.6 years and mean FEV1(%)= 52.5%).Results: See attached results tables.Medication use and COPD control based on CAT.Based on Clinical and CAT Criteria, forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) in controlled patients was greater in individuals receiving LAMA alone compared to LABA/ 1.
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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 | 0.015 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.190 | 0.059 |
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".