The Hockey News Podcast: How Legitimate are the Minnesota Wild?
Bibliographic record
Abstract
This week on The Hockey News Podcast, with senior writers Ken Campbell, Ryan Kennedy and Matt Larkin:- Andrew Shaw retires at 29 because of concussions. Will we keep seeing more players leave the game before their 30s because of head trauma?- Jakob Chychrun leads all defensemen with 16 goals. Has he entered the Norris Trophy chat?- Cole Caufield finally debuts in the NHL. What's his long-term ceiling?- Patrick Roy wants back into the NHL as a coach or executive. What role, if any, suits him best?- The Minnesota Wild have won seven straight games. Are they a Stanley Cup threat despite sharing a division with the superpowered Vegas Golden Knights and Colorado Avalanche?- After the Nova Scotia government forces the cancellation of the Women's World Championship due to COVID-19 concerns, the IIHF admits it had no backup plan. Understandable or inexcusable?- Listener mailbag, including: Who gets a higher AAV on his next contract - Brady Tkachuk or Andrei Svechnikov?And more!
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.108 | 0.001 |
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".