Variation of CFCs and SF<sub>6</sub>Concentration in Air of Urban Area, Kraków (Poland)
Bibliographic record
Abstract
Chlorouorocarbons, both of natural and industrial origin, currently exist as trace gases in the entire human environment.The CFCs cause ozone depletion in the stratosphere.Moreover, CFCs and SF6 take part in intensication of the greenhouse eect.On account of international agreements, the measurements of CFCs and SF6 in air were started.Measurement stations of these gases were situated at places outside of urban areas inuence and gathered on the world-wide program AGAGE (Advanced Global Atmospheric Gases Experiment).One of these stations is Mace Head (Ireland, 53 • N, 10 • W), which participates in AGAGE since 1987 and in InGOS (Integrated non-CO2 Greenhouse Gas Observing System) program since 2011.Similar research is also conducted in Central Europe, in urban area of Kraków (Poland, 50 • N, 19 • E) since 1997.This work discusses the results of concentration measurements (19972012) of selected halocarbons and SF6 in Kraków.To obtain concentrations of the measured compounds the mathematical procedure has been used, where concentrations were calculated using a ve points Lagrange interpolation method.Daily arithmetic means of the measured mixing ratios and their standard deviations were determined.Based on these data, eciency of Montreal Protocol legislation, implemented in Poland could be assessed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".