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Record W2168399438 · doi:10.5539/mas.v4n12p60

Orthogonal Study of Biodegradation of Lubricating Oil Accelerated by Lauroyl Glycine

2010· article· en· W2168399438 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueModern Applied Science · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Chemistry and Analysis
Canadian institutionsnot available
FundersChongqing Science and Technology CommissionNational Natural Science Foundation of China
KeywordsBiodegradationGlycineChemistryMineral oilChromatographyOrganic chemistryBiochemistryAmino acid

Abstract

fetched live from OpenAlex

Different contents of lauroyl glycine were incorporated into HVI 350 mineral lubricating oil and the biodegradabilities of the formulated oils were evaluated on a biodegradation tester. Thereafter, the interaction affections of four influencing factors, viz. lubricating oil content, lauroyl glycine, microbe nutriments and oxygen supply, on biodegradation of HVI 350 lubricating oil in soils were studied based on a L9(34) orthogonal array test. The results indicated that lauroyl glycine obviously promoted biodegradation of HVI 350 lubricating oil, especially at the lauroyl glycine contents of about 1.0~1.5%. Of the four influencing factors, the effect of lauroyl glycine on biodegradation of HVI 350 lubricating oil in soils proved to be the most significant in various biodegradation durations, demonstrating that lauroyl glycine markedly contributed to the biodegradation of the lubricating oil.

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 score0.018
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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