Induced Sputum: Selection Method
Bibliographic record
Abstract
Sputum consists of a mixture of mucus, inflammatory and epithelial cells, and cellular degradation products from the lower respiratory tract. In normal subjects, the inflammatory cells are mainly neutrophils and macrophages, with small numbers of lymphocytes, eosinophils, mast cells, and basophils. When expectorated the sputum is commonly contaminated with a variable amount of saliva, which has abundant squamous epithelial cells, and sometimes with secretions from the nasopharynx. These can be reduced by blowing the nose, rinsing the mouth, and swallowing water before expectoration. Contamination with saliva can be minimized by selecting the sputum from the expectorate and discarding the remainder. Selection of sputum (1) improves between-observer repeatability of differential cell counts (2,3) and allows standardization of measurements of total cell counts (expressed per gram of sputum) and fluid-phase mediators (by knowledge of the dilution factor of the processed sample).
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 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 | 0.000 | 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".