Samenvatting van de NHG-standaard 'Acuut hoesten'
Bibliographic record
Abstract
Coughing is usually caused by an uncomplicated respiratory tract infection for which antibiotics are not useful. Noscapine and codein are not advised. When the risk of complications is increased (because of age or relevant comorbidity), the decision to prescribe an antibiotic is based on the clinical presentation and any necessary additional investigations. Determination of the CRP value can assist in differentiating between pneumonia and a mild lower respiratory tract infection in moderately sick adults with several general and/or local symptoms. Patients with pneumonia should be prescribed antibiotics. Because of increasing resistance to doxycycline and macrolides, amoxicillin is the drug of first choice, and doxycycline of second choice. In the case of increased risk of severe pneumonia due to Coxiella burnetii (Q-fever) or Legionella, doxycycline remains first choice. In the case of whooping cough, additional investigation is advised if there are infants or third trimester pregnant women in the immediate environment. In moderately severe croup a single dose of glucocorticoids should be given; children with severe croup should be referred to a paediatrician
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.401 | 0.112 |
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".