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Record W2015073608 · doi:10.1080/15567030902882885

Formulation of an Organic Base Catalyst with Animal Shells and Metal Oxide for Biodiesel Production

2010· article· en· W2015073608 on OpenAlex
Rattiya Saetang, M. Altamirano, Laura Romero‐Zerón

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEnergy Sources Part A Recovery Utilization and Environmental Effects · 2010
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaNew Brunswick Innovation Foundation
KeywordsBiodieselCatalysisTransesterificationBiodiesel productionYield (engineering)OxideBase (topology)MetalMaterials scienceOrganic chemistryChemistryChemical engineeringMetallurgyEngineeringMathematics

Abstract

fetched live from OpenAlex

Abstract An organic base catalyst and combinations with animal shells and a metal oxide were tested for biodiesel production. The purpose was the application of these catalyst formulations for biodiesel production in small-scale plants at mild operating conditions. The optimum reaction conditions for the transesterification of vegetable oil were determined. The organic base at optimum conditions produces a biodiesel yield of 93%. Experimental results demonstrate that the synergistic effect of natural catalysts and metal oxide allows the substitution of the expensive catalyst by up to 30% while increasing the biodiesel yield.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.518

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 head0.007
GPT teacher head0.182
Teacher spread0.175 · 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