Bibliographic record
Abstract
This is the final report for a grant-funded project to financially assist and otherwise provide support to projects that increase E85 infrastructure in Michigan at retail fueling locations. Over the two-year project timeframe, nine E85 and/or flex-fuel pumps were installed around the State of Michigan at locations currently lacking E85 infrastructure. A total of five stations installed the nine pumps, all providing cost share toward the project. By using cost sharing by station partners, the $200,000 provided by the Department of Energy facilitated a total project worth $746,332.85. This project was completed over a two-year timetable (eight quarters). The first quarter of the project focused on project outreach to station owners about the incentive on the installation and/or conversion of E85 compatible fueling equipment including fueling pumps, tanks, and all necessary electrical and plumbing connections. Utilizing Clean Energy Coalition (CEC) extensive knowledge of gasoline/ethanol infrastructure throughout Michigan, CEC strategically placed these pumps in locations to strengthen the broad availability of E85 in Michigan. During the first and second quarters, CEC staff approved projects for funding and secured contracts with station owners; the second through eighth quarters were spent working with fueling station owners to complete projects; the third through eighth quarters included time spent promoting projects; and beginning in the second quarter and running for the duration of the project was spent performing project reporting and evaluation to the US DOE. A total of 9 pumps were installed (four in Elkton, two in Sebewaing, one in East Lansing, one in Howell, and one in Whitmore Lake). At these combined station locations, a total of 192,445 gallons of E85, 10,786 gallons of E50, and 19,159 gallons of E30 were sold in all reporting quarters for 2011. Overall, the project has successfully displaced 162,611 gallons (2,663 barrels) of petroleum, and reduced regional GHG emissions by 375 tons in the first year of station deployment.
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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) | 0.001 | 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 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".