Bibliographic record
Abstract
In recent years, particulate matter (PM) emissions from the gasoline direct injection (GDI) engine, are of significant concern due to their associated health effects as well as for climate impacts. Thus, in this thesis, the effect of gasoline fuel composition on GDI engine PM emissions is investigated. The detailed composition of five regular grade (anti knock index, or AKI, 87) and two premium grade (AKI91) fuels currently used in Ontario was studied. In addition, the impact of fuel seasonal changes on gas-phase emissions (i.e. benzene and toluene), and particle-phase emissions, i.e. black carbon (BC), elemental carbon (EC), polycyclic aromatic hydrocarbons (PAHs), and particle number (PN) were also determined using a laboratory GDI engine. The observations showed that all summer AKI87 fuels contained higher aromatics and lower paraffins compared to the winter AKI87 grade which led to higher BC, EC, PN, benzene, and toluene emissions.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".