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Record W2002440413 · doi:10.1002/cjce.21753

The effect of poly(ethylene‐alt‐maleic anhydride) on the reduction crystallisation behaviour of nickel powder

2012· article· en· W2002440413 on OpenAlexvenueaboutno aff
T.F. Bodoza, Freeman Ntuli, D.F. Chauke, Edison Muzenda

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicCoagulation and Flocculation Studies
Canadian institutionsnot available
FundersUniversity of Johannesburg
KeywordsSodium hypophosphiteMaleic anhydrideMaterials scienceCrystallizationNickelReducing agentChemical engineeringParticle sizeEthyleneProduct distributionBreakageCatalysisNuclear chemistryCopolymerChemistryMetallurgyOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Abstract The effect of poly(ethylene‐alt‐maleic anhydride) (EMA), an additive used in nickel powder precipitation, has been studied using sodium hypophosphite as a reducing agent. Reduction experiments were conducted using a 10 L stainless steel batch reactor. The effect of EMA was investigated by studying the evolution of the particle size distribution (PSD) and its derived moments, specific surface area, rate of reduction, pH–redox potential and elemental composition of the powder product. EMA has been found to act as a reduction catalyst and anti‐agglomerating agent. The major particulate processes identified were size dependent aggregation, molecular growth and breakage. © 2012 Canadian Society for Chemical Engineering

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.206
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2012
Admission routes2
Has abstractyes

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