Tracking Changes in Asphaltene Nanoaggregate Size Distributions as a Function of Silver Complexation via Gel Permeation Chromatography Inductively Coupled Plasma Mass Spectrometry
Bibliographic record
Abstract
Asphaltene elution behavior in gel permeation chromatography (GPC) was studied with and without the presence of silver triflate (AgOTf) via inductively coupled plasma mass spectrometry. The experiments highlighted the influence of AgOTf on the molecular weight profiles for atmospheric residues (ARs), asphaltenes, and their extrography subfractions. Specifically, the molecular weight distribution of the sulfur-, vanadium-, and nickel-containing compounds changed markedly with the addition of AgOTf, which suggests that AgOTf disrupts/alters the interaction between Ni and vanadyl porphyrins and select S-containing compounds within asphaltene nanoaggregates. However, similar effects were not observed with AgOTf addition to the high-molecular-weight GPC fractions of AR and the acetone extrography asphaltene fraction, which is comprised of abundant, highly aromatic/single-core compounds.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".