Bibliographic record
Abstract
The diagnosis of asthma depends on what we mean by the word. Its definition continues to be controversial because there is no single genetic or environmental cause. Addressed from a descriptive point of view, the disease components include airway inflammation, symptoms, variable airflow limitation and chronic airflow limitation. The essentialist definition conveys the message that asthma is a separate disease entity, fails to identify a primary defining characteristic which separates it from other diseases and is long winded. These disadvantages are overcome by the nominalist definition of asthma in which the word 'asthma'refers to an abnormality of airway function, specifically to wide variations in airflow limitation over short periods of time. In patients with asthma the other components of airway disease need to be considered. These have separate nominalist definitions and especially include different types of bronchitis for airway inflammation and chronic obstructive pulmonary disease for chronic airflow limitation. What is present will vary between and within patients. The accurate diagnosis of asthma and of other components of disease all require objective measurements. Currently spirometry and airway responsiveness should be available to the general practitioner, who sees milder disease, and additional quantitative sputum cell counts in specialist practice, where moderate to severe disease is more prevalent. Such measurements characterize the patient, identify heterogeneity and allow treatment to be personalized.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".