О ПУСКЕ В ЭКСПЛУАТАЦИЮ НА ДМКД НОВОЙ ВОЗДУХОРАЗДЕЛИТЕЛЬНОЙ УСТАНОВКИ ОАО «КРИОГЕНМАШ»
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On OJSC «Dneprovsky metallurgical works» (Dneprodzerzhynsk, Ukraine) put into operation an air separation plant (ASP) «NitrogenOxygenArgon-40/35-2» (NOAr-40/35-4). It is developed and made by JSC «Cryogenmash» (Balashikha, Russia). Its basic operating mode is reception a 40 thousand m3/h of pure nitrogen and 35 thousand m3/h of gaseous technical oxygen. It also can make the liquid oxygen, nitrogen, argon, krypton-xenon concentrate and neon- helium mixture. In the plant are applied a modern technological circuit and constructive decisions. Pure argon is made in it by a method of low-temperature rectification. A plant is equipped with the automated system of monitoring and control. For its complete set the equipment were made by the known companies as: «Chart» (USA); «Sulzer» (Switzerland); «York» (Canada); «Xomox» (Germany); «Contex-Cryo» and TH «RealSorb» (Russia). The manufacturing products of air separation will allow for combine to increase a release and increase of quality of cast iron and rolled iron. The features and basic parameters of constructed ASP are considered. Its high efficiency and reliability is marked. It is informed about presentation of plant taken place at combine on August, 17, 2007 to which have been invited many experts from the metallurgical, chemical and petrochemical enterprises, factories on manufacture of technical gases. During presentation to have a conversation about reconstruction on factory-enterprise with full metallurgical cycle, and also about achievements of JSC «Cryogenmash» — the leader of oxygen and cryogenic mechanical engineering.
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.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 it