AAM/AIAM Fleet Test Program: Analysis and Comments
Bibliographic record
Abstract
In July 2002, the Alliance of Automobile Manufacturers, the Association of International Automobile Manufacturers and the Canadian Vehicle Manufacturers Association released the results of a 6-year, two-part vehicle fleet test program to determine the effects of methyl-cyclopentadienyl manganese tricarbonyl (MMT®*) on vehicles equipped with state of the art emission control systems. Analysis of the data reports from this study shows that all of the vehicles met applicable emission standards, even though the fleet accumulated mileage under very severe conditions that accelerate degradation of vehicle emission control systems in excess of that expected from actual vehicle mileage. The study also demonstrated that gasoline-containing MMT had no adverse impact on vehicular emission control equipment. When the data were analyzed using the same criteria that EPA and the auto industry use to verify the in-use performance of emission control equipment, all vehicles using either MMT or base fuel met the most stringent performance criteria. These results directly contradict conclusions drawn by the authors of SAE Paper 2002-01-2894 and the sponsors of the AAM/AIAM/CVMA study.
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 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 | 0.009 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.065 | 0.040 |
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".