Should the Jets move on from the Whiteout?
Bibliographic record
Abstract
The greatest postseason tradition in the world, the Winnipeg Whiteout, is making its return!While it's been a foregone conclusion for weeks--if you've been following the math--it's great to see the Winnipeg Jets officially clinch their spot in the Stanley Cup playoffs with an \"X\" next to their name. The win was even more thrilling as it came against the NHL's top team, the Washington Capitals, at Canada Life Centre.What are Cam & Jim's thoughts on the game? Is this the kind of matchup the Jets will face in the postseason? How did Winnipeg's depth show up?While the Jets are preparing to battle for the Cup, their first-round opponent is still undecided. Could it be the red-hot St. Louis Blues, or the heavy and steady Minnesota Wild?The guys are joined by NHL Insider John Shannon to break down the final 10 games, discuss the Jets' playoff chances, and weigh in on the debate of rest vs. rust. Plus, they'll talk about how to avoid potential pitfalls heading into the playoffs.And, of course, Cam & Jim take a moment to discuss the race for NHL Rookie of the Year.Learn more about your ad choices. Visit megaphone.fm/adchoices
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.004 |
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; both teacher heads agree on what is shown here.
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".