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Record W2102400256 · doi:10.1080/10916466.2011.609493

Evidence for Autocatalysis and Its Implications for the Kinetics of Hydroprocessing of Petroleum Residues

2014· article· en· W2102400256 on OpenAlex
Khalida Al-Dalama, A. Stanislaus, R. Navvamani, Masoud Almarri, Edward Furimsky

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

VenuePetroleum Science and Technology · 2014
Typearticle
Languageen
FieldEngineering
TopicCatalysis and Hydrodesulfurization Studies
Canadian institutionsCanadian Apheresis Group
Fundersnot available
KeywordsAutocatalysisCatalysisChemistryVanadiumNickelHydrodesulfurizationChemical engineeringKineticsDeposition (geology)Inorganic chemistryCokeOrganic chemistryGeology

Abstract

fetched live from OpenAlex

Abstract During hydroprocessing of residual feeds the rate of some reactions tends to increase temporarily despite the continuous deposition of coke and metals on catalyst surface. This rate increase has been attributed to catalytic effect of the contaminant metals such as vanadium and nickel in residual feeds after their deposition on catalyst surface. The portion of metals that deposited on the bare γ-Al2O3 surface of the Mo/Al2O3 and NiMo/Al2O3 catalysts transfers the originally inactive surface to catalytically active. The increase in the rate of HDS, HDAs, and some HDM reactions could only be reconciled assuming the involvement of autocatalysis by the deposited metals. Keywords: autocatalytic effectscontaminant metalshydroprocessingresidual feeds

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.448
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.031
GPT teacher head0.285
Teacher spread0.255 · 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