Bibliographic record
Abstract
The Government of Indonesia has requested the World Bank to assist Indonesia with the implementation of the HCFC Phase-Out Plan for the foam sector, which is part of the overall HCFC Phase-Out Management Plan (HPMP). The implementation of the HPMP is supported by a grant from the Multilateral Fund to assist Indonesia to meet its obligations under the Montreal Protocol. The implementation of the HPMP is led by UNDP as Lead Implementing Agency, with the World Bank as Cooperating Agency for the foam sector. The objective of the Hydrochloroflurocarbon (HCFC) Phase-out in the Polyurethane (PU) Foam Sector Project is to provide investment support in the form of Financial Incentives to four large, eight medium size and 201 small foam producing companies in the remaining PU foam subsectors, and two foam system houses, to phase out HCFC-141b in these companies and introduce alternative, non-HCFC consuming production technologies. Some of the negative impacts and mitigation measures include: enterprises that convert to pre-blended HFO should include adequate environment and safety measures in their SOPs, which will be checked by the PMU. For companies converting to cyclo-pentane, the safety requirements associated with the use of flammable hydrocarbons present operational challenges, in particular for smaller foam enterprises. Therefore, the World Bank’s Environmental Assessment (OP/BP 4.01) policy is triggered. Provided the environmental assessment above, participating companies planning to use hydrocarbons will need to prepare a site-specific Environmental Management Plan (EMP) for the conversion to address the safety concerns of cyclo-pentane use.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.093 | 0.023 |
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".