CanmetMINING battery electric vehicle field test series: Relay utility vehicle
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.
Bibliographic record
Abstract
Battery electric vehicles (BEVs) have been used increasingly in Canadian mines to replace conventional internal combustion engine vehicles due to their high efficiency, low heat production, and zero emissions locally. To help understand BEV technology, performance, and energy consumed under different work conditions, CanmetMINING and CanmetENERGY conducted a series of tests on the Miller Technology Relay BEV at Vale’s North Mine site in Ontario, Canada. The 1.25-km test route comprises uphill and downhill sections with flat (0%), 5%, 10%, and 20% inclination grades. The BEV was driven through the route in both directions to complete multiple 2.5-km laps at 5 and 15 km/h while loaded and empty. This paper presents test results normalized by distance, including energy consumed and captured tabulated by inclination grade, speed, and load. The consumed and captured energy ranged from −1.4 to 4.5 kWh/km at 5 km/h and from −2.0 to 3.7 kWh/km at 15 km/h. The battery charging data and variation in state of charge are also presented to describe the energy balance during BEV operation. A vehicle energy model calibrated against the field test data was used to estimate the energy consumption of a utility BEV operated in an underground mine.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it