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Record W1985484938 · doi:10.1002/cjce.5450810208

Selective Production of C<sub>4</sub> Hydrocarbons from Syngas Using Fe‐Co/ZrO<sub>2</sub> and SO<sub>4</sub><sup>2—</sup>/ZrO<sub>2</sub> Catalysts

2003· article· en· W1985484938 on OpenAlex
Yonghong Bi, Ajay K. Dalai

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2003
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysts for Methane Reforming
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCatalysisIsobutaneSyngasSpace velocityFischer–Tropsch processHydrocarbonChemistryOxideNuclear chemistryInorganic chemistryOrganic chemistrySelectivity

Abstract

fetched live from OpenAlex

Abstract Modified Fischer‐Tropsch (MFT) syntheses were carried out to convert synthesis gas to C 4 hydrocarbons over Fe‐Co/ZrO 2 (FT) and SO 4 2— /ZrO 2 (SZ) catalysts in a dual reactor system, keeping the FT to SZ catalysts ratio at 1:1.5. Five Fe‐Co/ZrO 2 catalysts with different Fe and Co loading, and SZ with 15 wt% SO 4 2— were prepared and extensively characterized using various physico‐chemical methods. The FT synthesis process was initially performed using a Fe‐Co/ZrO 2 catalyst in a single reactor and the effects of Fe and Co mass ratio, reaction temperature, space velocity on the production of C 4 hydrocarbons and C 2 ‐C 4 olefins were investigated. Results indicated that a 3.71% Fe—8.76% Co/ZrO 2 mixed oxide catalyst alone at 260°C and 5 h —1 gave high selectivities of C 2 ‐C 4 olefins (∼26.1 wt%) and total C 4 hydrocarbon product (∼16.2 wt%). The MFT process 150°C gave higher C 4 (∼31.6 wt%), isobutane (∼22.9 wt%) and C 2 ‐C 4 (31.1 wt%) selectivities.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.009
GPT teacher head0.198
Teacher spread0.190 · 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