Antibiotic preferences for childhood pneumonia vary by physician type and European region
Bibliographic record
Abstract
Antibiotics are the most commonly prescribed medicines for acutely unwell children worldwide [1]. Many of these antibiotic prescriptions are issued in a primary care setting [2–4]. Despite this, a robust evidence base for agent selection in primary care is lacking for many childhood indications, including community-acquired pneumonia (CAP). In an era of increasing antibiotic resistance, with optimal antibiotic use being paramount to preserve this precious resource, trials involving ambulatory patients representative of those seen in primary care are needed to address this gap. Survey of EAPRASnet and @PREPARE_EUROPE members reveals heterogeneity of antibiotic choice for childhood pneumonia <http://ow.ly/4mIS2P> We would like to thank all EAPRASnet and PREPARE participants who completed the survey. We are also grateful to Lucy Yardley (University of Southampton, Southhampton, UK) for providing critical input into the survey design.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".