MétaCan
Menu
Back to cohort
Record W2253015545

КАТАЛИТИЧЕСКОЕ ГИДРОДЕХЛОРИРОВАНИЕ ХЛОРУГЛЕВОДОРОДОВ В СРЕДЕ РАСТВОРОВ ГИДРОКСИДА НАТРИЯ Часть 1. Превращения четыреххлористого углерода

2014· article· ru· W2253015545 on OpenAlexaboutno aff
А. В. Терехов, Л. Н. Занавескин, К. Л. Занавескин, О. А. Конорев

Bibliographic record

VenueКатализ в промышленности · 2014
Typearticle
Languageru
FieldEngineering
TopicEnvironmental remediation with nanomaterials
Canadian institutionsnot available
Fundersnot available
KeywordsAutoclaveCatalysisChemistryCarbon tetrachlorideSodium hydroxideSodium formatePalladiumSelectivityNuclear chemistryChemical engineeringInorganic chemistryOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

In the production of chlorohydrocarbons (chloromethanes, perchlorethylene, etc.) a carbon tetrachloride formed as a by-product. The Montreal Protocol refer it to ozone depleting substances. The process of liquid-phase catalytic hydrodechlorination of CCl4 in the presence of aqueous sodium hydroxide to form useful products: sodium formate, hexachloroethane and perchlorethylene, was investigated to develop a rational (another then burning) method of disposal of CCl4. Experiments were performed in a 300 ml autoclave at pressures up to 1,5 MPa in the temperature range 80–120 °C, the catalyst - Pd on sibunit (5 fractions from 0,1 to 1,6 mm). The dependence of CCl4 conversion and main products selectivity from the initial CCl4 and NaOH concentration, temperature, hydrogen partial pressure, size of catalyst particles and palladium content were studied. Based on these results, scheme of the process is proposed, recommendations on the conditions of the process depending on the specific composition of the products are given, optimal parameters of the catalyst are determined: 1,5 wt.% Pd on sibunit with grains 0,315–0,63 mm. The proposed process will not only solve the problem of waste disposal containing CCl4, but also ensured the production of three commercially popular products.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.031

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.

Opus teacher head0.005
GPT teacher head0.183
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueКатализ в промышленностиSame topicEnvironmental remediation with nanomaterialsFrench-language works237,207