Ozone Layer Depletion: Causes, Effects and Prevention
Bibliographic record
Abstract
The purpose of this study was to review the Causes, effects and prevention of the ozone layer depletion. Ozone layer is a part of the stratosphere which absorbs the harmful ultraviolet (UV) rays of the sun and prevents it from reaching the earth surface. Industrial activities, release chemicals into the air that can destroy ozone layer, this process known as ozone layer depletion. The main causes of ozone layer depletion are Chlorofluorocarbons (CFCs), Halons (HCFCs) and NOX (nitrogen oxides), depletion of stratospheric ozone, led to increased ultraviolet radiation at the earth’s surface as well as spectral shifts to the more biologically damaging shorter wavelengths, which is harmful to the human, plants and ecosystem. An international environmental initiative to lessen ozone depletion is known as the Montreal Protocol. This agreement required all nations to impose legal obligations on the reduction of CFCs and other comparable chemical compounds. As a result, an international fund has been set up to assist in introducing these nations to new and environmentally friendly technologies and chemicals.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".