Meteorological analysis of the 22 June 2007 F5 tornado in Elie, Manitoba
Bibliographic record
Abstract
During the early evening of 22 June 2007, a violent tornado impacted the western edge of Elie, Manitoba. This was Canada’s first documented F5 tornado. Three primary research questions were posed: (1) What were the pre-storm environmental conditions on 22 June 2007? (2) How did the storm and associated tornado evolve? (3) How does this event compare to other major tornadic events in Canada and the U.S.? The tornado passed in close proximity to a fixed-location Environment Canada Doppler radar at Woodlands, Manitoba. This allowed for a detailed examination of local mesoscale boundaries that were present prior to and during the event. The Elie tornado was rare in the fact that it looped three times within the main track and it moved approximately 5 km during its 40 minute lifetime causing F5 damage to homes and structures when it was an estimated 50 m wide.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".