Bibliographic record
Abstract
The Montreal Protocol was signed 25 years ago. As a result, the irreversible destruction of the ozone layer was prevented. However, stratospheric ozone will not recover completely until 2060 and the consequent epidemic in skin cancer cases will persist until 2100. Many millions of patients with asthma and chronic obstructive pulmonary disease have safely switched from chlorofluorocarbon (CFC)-powered metered-dose inhalers (MDIs) to either hydrofluorocarbon (HFC) or DPIs. China will be the last country to phase out CFCs by 2016. HFCs are global warming gases which will be controlled in the near future. HFCs in MDIs may be phased out over the next 10–20 years. In November 2012, the Meeting of the Parties to the Montreal Protocol for the Protection of the Ozone Layer celebrated its 25th anniversary in Geneva. There is much to celebrate since the Montreal Protocol has been the most successful in the UN Environment Programme and is unique in being signed by all 196 members of the UN. STRATOSPHERIC OZONE Stratospheric ozone is critical in shielding the Earth and its life forms from excessive ultraviolet B (UVB) radiation. Reductions in ozone increase skin cancer and cataracts, and have major effects on plankton and crops. The Montreal Protocol controls the production of a range of chemicals that deplete stratospheric ozone, including methyl bromide used as a soil sterilant in agriculture, halons for fire extin-guishers in aeroplanes and chlorofluorocarbons (CFCs), which were widely used in refrigeration, foam blowing and as aerosol propellants, especially in metered-dose inhalers (MDIs) used for asthma and chronic obstructive pulmonary disease (COPD). CFCs are very stable with an atmospheric lifetime of 100 years or more, and peak production in the 1980s was over 1 million tonnes/year. There are still a lot of CFCs in the stratosphere and will be for many decades to come.
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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.870 | 0.710 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".