Bibliographic record
Abstract
The understanding of the damaging effect of chlorofluorocarbons (CFCs) on the stratospheric ozone has led to international agreements calling for the total phase-out of CFC production. The banning of CFCs in pressurized metered dose inhalers used in airways disorders has been postponed on a temporary basis until replacement propellants have been identified. Hydrofluoroalkanes HFA-134a and HFA-227 have been shown to have no ozone damaging potential and to be safe. However, HFAs cannot simply be substituted for CFCs in inhalers of identical design. Their use has required changes in many aspects of the drug formulation, inhaler design and manufacture. This, in turn, has provided at least to some pharmaceutical companies an opportunity to assess and enhance the performances of new inhalers. The new products are neither technically nor pharmacologically identical to their CFC-based counterparts. Some of them have now completed clinical trials and the transition has already started: by the end of 1998, 2 short acting beta-agonist HFA-based inhalers and a corticosteroid HFA-based inhaler have reached the marketplace in France.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.020 |
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".