Five Games Into The NHL Season, The Winnipeg Jets Have Some Room For Improvement...
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On today's episode, we dive into the overall impressions of Winnipeg's first 5 games of the season. How have the Jets fared so far under the combined efforts of Rick Bowness and the assistant coaching staff? What appears to be working, and what needs a few adjustments. What can the team do with the line-ups to try and squeeze out a few extra results? Is it time for David Gustafsson to earn a more prominent role? Should Sam Gagner see increased usage in the top-9? Is Dylan DeMelo finally back to being the backend stabilizer the Jets need on the first pairing? What on earth was that officiating in the game against the Toronto Maple Leafs?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 \\"LOCKEDON15,\\" 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!SimpliSafeWith Fast Protect™️ Technology, exclusively from SimpliSafe, 24/7 monitoring agents capture evidence to accurately verify a threat for faster police response. There's No Safe Like SimpliSafe. Visit SimpliSafe.com/LockedOnNHL to learn more.Athletic GreensTo make it easy, Athletic 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/NHLNETWORKLearn more about your ad choices. Visit podcastchoices.com/adchoices
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.133 | 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 it