Free Agent Gems For The Winnipeg Jets
Bibliographic record
Abstract
On tonight's episode, we talk about a number of potentially underrated signings for the Winnipeg Jets to consider. Can Tyler Ennis be the fourth line hero the team needs in the absence of Mathieu Perreault? Is Brett Kulak the ideal pairing partner for someone like Ville Heinola? Should the Jets pursue a player like Erik Gudbranson, or stay far away?Support Us By Supporting Our Sponsors!Built BarBuilt Bar is a protein bar that tastes like a candy bar. Go to builtbar.com and use promo code \\"LOCKED15,\\" and you'll get 15% off your next order.BetOnlineBetOnline.net has you covered this season with more props, odds and lines than ever before. BetOnline - Where The Game Starts!Rock AutoAmazing selection. Reliably low prices. All the parts your car will ever need. Visit RockAuto.com and tell them Locked On sent you.Athletic GreensAthletic Greens is going to give you a FREE 1 year supply of immune-supporting Vitamin D AND 5 FREE travel packs with your first purchase. All you have to do is visit athleticgreens.com/NHLNETWORK.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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.153 | 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 teacher head, 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".