Liquid Atomizing: Nebulizing and Other Methods of Producing Aerosols
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Liquid atomization (or nebulization) is the most traditional method of drug delivery to the lung. Although other methods seem to often be preferred for the delivery of new drugs, nebulizers are experiencing a revival, with new devices based on different atomization techniques, and the more traditional jet nebulizers evolving to become "smart nebulizers." These smart devices synchronize delivery with the patient's breath, estimate or measure delivered dose, provide feedback and data storage, and in some cases control breathing maneuvers. Besides adding new features, new nebulizers are also addressing traditional shortcomings, namely, reducing size, bulkiness, and power consumption. But in the longer term, nebulizers are expected to offer even more important features. Following the trend toward individually optimized therapy, nebulizers will be able to estimate deposited dosage and concentrations in the lung. In addition, as progress in nanotechnology allows the development of smart drug carrying particles, advanced liquid nebulization is expected to be the delivery mode of choice for these smart particle aerosols.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it