The Winnipeg Jets Players Who Need To Have Big Pre-Seasons To Help Decide Their Jets Future
Bibliographic record
Abstract
On tonight's episode, we dive into the fringes of Winnipeg's skater depth, looking for the players who will need to impress to extend their Jets careers. At forward, how will players like Jansen Harkins and David Gustafsson stand out amidst the new additions to earn NHL roles? Is Mason Appleton's future with Winnipeg more in doubt than is currently accepted? On the blueline, will Dylan Samberg be considered a lock to make the team, or is his role up for debate? Are the Jets finally going to see the version of Ville Heinola that has dominated the AHL over the last 2 seasons? Who will impress and surprise the most during pre-season? Will Coly Barlow make a case to jump up from junior faster than expected?Support Us By Supporting Our Sponsors!BirddogsGo to birddogs.com/LOCKEDONNHL or enter promo code LOCKEDONNHL for a free Yeti style tumbler with your order. You won't want to take your birddogs off we promise you.AG1If a comprehensive solution is what you need from your supplement routine, then try AG1 and get a FREE 1-year supply of Vitamin D AND 5 free AG1 Travel Packs with your first purchase. Go to drinkAG1.com/NHLNETWORK.FanDuelMake Every Moment More. Don't miss the chance to get your No Sweat First Bet up to TWO HUNDRED DOLLARS in Bonus Bets when you go FanDuel.com/LOCKEDON.FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expires in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN)Learn more about your ad choices. Visit podcastchoices.com/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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.031 | 0.025 |
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".