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Record W2000454944 · doi:10.1080/15567249.2010.529559

The Economic and Social Benefit of C1 Utilization in China

2014· article· en· W2000454944 on OpenAlex
Xiao Rong Kang, Xiaoting Guo

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnergy Sources Part B Economics Planning and Policy · 2014
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsMethanolMethyl formateFormateDimethyl etherCarbonylationOxalic acidChemistryOrganic chemistryCatalysisCarbon monoxide

Abstract

fetched live from OpenAlex

This article introduces CO2 and H2 generate dimethyl ether, new technologies for the synthesis of oxalic ester by using CO under the normal atmosphere and gas phase, studies on the conversion of methanol to propylene over HZSM-5, the investigation of liquid phase synthesis of methyl formate from CO, the economic introduction for methanol to generate lower carbon, and a comparison of production processes of methyl formate with the carbonylation of methanol and its market analysis. The the use of CO2, CO, and methanol is explained in detail. This is an economic and social benefit for chemical plants and the country by using CO2, CO, and methanol.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.214
Teacher spread0.204 · 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