[NBCS-TV] Jets vs Ducks: Live Stream (NHL Hockey Online 2019)
Bibliographic record
Abstract
The Winnipeg Jets are looking to extend their winning streak to four games after downing the LA Kings 3-2 on the road Monday. Sean Walker and Dustin Brown tallied for the Kings who rallied from a 2-0 deficit. Jack Campbell took the loss for Los Angeles with three goals allowed on 28 shots to fall to 7-13-1. =========================== Watch Live NOW >> https://247itv.info/ice-hockey Watch Live NOW >> https://247itv.info/ice-hockey =========================== Kevin Hayes and Kyle Connor scored first period goals for Winnipeg and Tyler Myers scored unassisted in the third. Connor added an assist for the Jets who received 15 saves from Laurent Brossoit. The Anaheim Ducks squeezed past visiting Florida 3-2 on Sunday to earn their third win in four contests. The Panthers received scoring from Evgenii Dadonov in the second and Aaron Ekblad in the third period. Jonathan Huberdeau and Aleksander Barkov assisted on both goals for Florida while Sam Montembeault gave up three goals on 27 shots to get the loss. Devin Shore scored 1:33 in to the first for a 1-0 Anaheim lead and Adam Henrique lit the lamp in the second. Jakob Silfverberg netted the winner in the third for the Ducks while Ryan Getzlaf added a pair of helpers to make the 37 saves of John Gibson hold up. Jets are 44-20 in their last 64 vs. a team with a losing record and Jets are 56-26 in their last 82 games as a favorite and Jets are 35-17 in their last 52 vs. Pacific. Ducks are 4-1 in their last 5 games as an underdog and Ducks are 7-15 in their last 22 vs. Western Conference and Ducks are 18-40 in their last 58 when their opponent allows 2 goals or less in their previous game. Jets are 2-7 in the last 9 meetings in Anaheim and under is 4-1-1 in the last 6 meetings in Anaheim and Jets are 5-1 in the last 6 meetings. Winnipeg is obviously the better team but Anaheim has a fighting chance and I would go small on the Ducks or walk away to avoid the juice…
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.778 | 0.658 |
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; the direct Gemma label and the distilled Codex classifier 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".