An assessment of the statistical significance of the total ozone changes simulated with global chemical transport model MEZON
Bibliographic record
Abstract
This paper is intended to investigate the statistical significance of the ozone recovery amounts computed with the chemical transport model (CTM) MEZON, given errors in the reaction rates and model initial conditions. The CTM is used to investigate the sensitivity of the ozone to Montreal Protocol and its Amendments (MPA) restrictions on the emission of ozone depleting substances in the atmosphere during 1992–2002. The known Student's t‐test is applied for the assessment of the statistical significance of the “saved” total ozone (TO) by the MPA. The results reveal that the uncertainties in the initial fields do not substantially reduce the statistical significance of the results. Substantial reduction of the statistical significance is caused by the uncertainty in the kinetic constants. The model noise level reaches its highest values (up to 10%) in the polar areas during late winter ‐ early spring. The “saved” TO also reaches its maximum there and, therefore, it is significant at the 90–95% confidence level.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".