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Record W2044635770 · doi:10.1080/10402000601105532

Effects of Mo-Containing Dispersants on the Function of ZDDP: Chemistry and Tribology

2007· article· en· W2044635770 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTribology Transactions · 2007
Typearticle
Languageen
FieldEngineering
TopicLubricants and Their Additives
Canadian institutionsWestern University
FundersNational Research Council CanadaNational Science Foundation
KeywordsTribologyDispersantFunction (biology)ChemistryChemical engineeringOrganic chemistryNanotechnologyMaterials scienceMetallurgyEngineeringDispersion (optics)Physics

Abstract

fetched live from OpenAlex

The interactions of zinc dialkyldithiophosphate (ZDDP) with three different Mo-containing dispersants has been investigated both on thermally and tribologically generated films. X-ray absorption near-edge structure (XANES) spectroscopy, at the P and S L-edge and K-edge and the Mo L-edge, has been used to identify the chemical species in the surface and bulk of the films. XPS has also been used to complement the XANES data. Wear scar widths and friction coefficients have been measured. The data indicate a much enhanced improvement in antiwear and friction reduction properties of the blends containing the Mo dispersants/ZDDP over blends containing ZDDP alone. XANES spectroscopy shows clearly the presence of MoS 2 species in the rubbing films containing Mo/ZDDP along with long chain polyphosphate. However, the Mo dispersants alone have no antiwear and friction reducing characteristics. The thermally generated films did not show the formation of MoS 2 , and it is concluded that rubbing is required for the molybdenum disulfide species to form.

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 score0.115
Threshold uncertainty score0.293

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 head0.005
GPT teacher head0.197
Teacher spread0.191 · 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