Global Atmospheric Emissions Model of HCFC142b with Respect to Extruded Polystyrene Foam Applications
Bibliographic record
Abstract
This paper will address significant issues related to discrepancies between the atmospheric measurements of HCFC142b and estimated emissions from production and use data, and attempt to improve the agreement between them. Current discussions and regulations regarding materials used to make extruded polystyrene foam (XPS) are using insufficient and incorrect data. This poor information may affect current and future use of an important energy management product. This paper presents new data and information regarding emissions of HCFC142b used to make XPS products. The data are from a variety of governmental and industry sources. Furthermore, as HCFC142b is being phased out of use in developed XPS markets, its use is increasing significantly in emerging markets, particularly China. The new information is used to develop a bottom-up model for HCFC142b that reasonably estimates atmospheric measurements. It is a reliable tool for assessing use scenarios of HCFC142b, and can be used to develop useful management actions for the use of this material, and develop appropriate policies for replacement materials for HCFC142b in XPS products.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".