Assessment of Environmental Benefits from Phasing out CFCs in Refrigerator Industry of China
Bibliographic record
Abstract
The environmental benefits for phasing out CFCs in China’s refrigerator sector,such as the reduction of emissions of greenhouse gases,ozone-depleting substances and the electricity consumption,were analyzed by comparing the scenario of phasing out CFCs to the non-Montreal Protocol baseline scenario,respectively.It was found that 273.5 million tons CO2-eq and 4.7×104 tons ODP had been reduced by the end of 2008.After 2008,619.8 million tons CO2-eq and 1.0×105 tons ODP will be reduced.Phasing out CFCs in China’s refrigerator industry made a considerable contribution to relieve global warming and reduce ozone depletion substances.By using substitute refrigerants,2.8×1010 kWh of electricity was saved,which was equivalent to 24.2 million tons CO2 and of great practical significance in China’s resource conservation,energy-saving and emission-reduction.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".