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Record W4388098810 · doi:10.1021/cen-10136-buscon18

Business Roundup

2023· article· en· W4388098810 on OpenAlexaboutno aff

Bibliographic record

VenueC&EN Global Enterprise · 2023
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCatalysisBusinessWaste managementCarbon fibersNitrogenEnvironmental scienceChemistryEngineeringMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Evonik Industries will make proprietary fixed-bed catalysts for mobile applications of Hydrogenious LOHC Technologies’ organic hydrogen carrier technology. The system uses benzyl toluene, which binds to hydrogen for safe transport. W. R. Grace has unveiled a new catalyst system for fluidized catalytic crackers at refineries. The new catalyst uses a vanadium trap in a high matrix surface area catalyst, which the company says makes upgrading long-chain hydrocarbons into fuels more sustainable. Yara , the Norway-based nitrogen producer, says that European nitrogen fertilizer demand is off to a slower start than usual this buying season. If the situation continues, new production curtailments might be needed. Air Liquide plans to spend nearly $150 million to build a low-carbon industrial gases plant in Bécancour, Quebec. A new air separation facility will use hydroelectric power to make oxygen, nitrogen, and argon. Versalis has completed purchasing the 64% of the biobased chemical firm Novamont that

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.005

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 head0.248
Teacher spread0.238 · 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; a candidate call from one teacher head, not a consensus.

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
Published2023
Admission routes1
Has abstractyes

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