2023 McMaster Energy Week Nexus Case Competition: The Future of Fuel
Bibliographic record
Abstract
The theme for the 2023 Energy Nexus Case Competition was “The Future of Fuel”. In 2022, gasoline prices reached record highs in Ontario. Canadians use fuel for transportation, electricity, heating, and cooking, among other things. Given the volatility of fuel and our great dependency on it, what are some steps we can take to aide our dependency on fuel? The following abstracts were selected as the top three finalists amongst the delegates chosen for the Energy Nexus Case Competition taking place during the 6th annual McMaster Energy Week. McMaster Energy Week is Canada's first student-led energy week that aims to take the complex and multi-faceted issue of climate change and present solutions towards building Canada's sustainable future. We are bringing together academia, industry, government, communities, and students to further the dialogue on Canadian environment and energy. For more information on this visit https://www.mcmasterenergyweek.com/ or email chair@mcmasterenergyweek.com.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.085 | 0.010 |
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".