REFRIGERAN HIDROKARBON PENGGANTI CFC 12 TAK MUDAH TERBAKAR
Bibliographic record
Abstract
Montreal Protocol sudah menyetujui untuk menghilangkan penggunaan CFC dalam segala bentuk pemanfaatannya, termasuk fungsinya sebagai bahan pendingin secara bertahap, karena CFC dianggap dapat membahayakan lapisan ozon dan dapat menyebabkan efek rumah kaca.Substansi pengganti CFC yang popular saat ini adalah HFC. Namun HFC masih masuk ke dalam priority watch list substance karena memiliki potensi untuk menyebabkan global warmingPotential yang dapat merusak ozon.Teknologi ini berhubungan dengan bahan pendingin yang sangat baik untuk menggantikan CFC 12 dan HFC 134a dan bahan pendingin lain yang equivalen. Produk yang dihasilkan dari teknologi ini juga dapat dimanfaatkan sebagai propellant, blowing agent, dan pelarut. Bahan pendingin Hidrokarbon tidak mudah terbakar ini pada dasarnya campuran dari hidrokarbon dan low flammability suppressant substance. Keunggulan refrigeran ini OzoneDepletion Potential = 0, , hidrokarbon yang tidak mudah terbakar, mudah diproduksi di Indonesia, tidak mudah terbakar, tidak korosif dan tidak beracun, meningkatkan performansi sistem, efisiensi energi lebih tinggi. Nomor Paten:P00200000087 (ID P 0024879)
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.074 | 0.014 |
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".