Performance and Analysis on Winter Air Conditioning Testing with Limited Pressure
Bibliographic record
Abstract
This project is related to the future phase-out of hydro chloro fluoro carbons (HCFCs) used in air conditioning system. Most commonly used refrigerant is R22. In field of refrigeration everyone trying to find alternative refrigerants for R-22. Because hydro chlorofluorocarbons (HCFCs) including R-22 is promised to be banned as per the Montreal protocol. Several refrigerants like R290, R407C, R410A, R134a are emerged as substitutes to replace R-22, the most widely used Fluoro carbon refrigerant in the world. It is become necessary to replace the R-22 by other refrigerants which are environmental friendly. In this project R-290 (hydrocarbon) is selected as alternative for R- 22. Because it has zero Ozone Depletion Potential and almost zero Global Warming Potential. The product is typically at least 97.5% pure with minimal level of critical impurities including moisture and unsaturated hydrocarbons. This make it ideal for use in all type of refrigeration systems.
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".