[CBS-TV] Devils vs Avalanche: Live Stream (NHL Online 2019)
Bibliographic record
Abstract
The New Jersey Devils have won back to back road games after knocking off Vancouver 3-2 in a SO on Friday. Elias Pettersson and Tanner Pearson scored for the Canucks. Petterson scored in the shootout and Bo Horvat posted two assists for Vancouver who received 31 stops from Jacob Markstrom. WATCH LIVE:: https://247itv.info/nba-allaccess WATCH LIVE:: https://247itv.info/nba-allaccess Kevin Rooney and Stefan Noesen scored third period goals for New Jersey. Drew Stafford and Damon Severson netted shootout goals and Mackenzie Blackwood picked up the win for the Devils with 25 saves. The Colorado Avalanche have dropped three of four following a 5-3 loss to visiting Anaheim on Friday. Nathan MacKinnon, Mikko Rantanen and Sven Andrighetto scored for Colorado. MacKinnon also posted an assist for the Avalanche and Semyon Varlamov allowed four goals on 36 shots. Corey Perry led Anaheim with a pair of tallies with Ryan Getzlaf, Daniel Sprong and Hampus Lindholm also lighting the lamp. Getzlaf and Cam Fowler posted two helpers each and John Gibson gave up three goals on 44 shots to get the win for the Ducks. Devils are 16-35 in their last 51 road games and Devils are 3-7 in their last 10 vs. Western Conference and Devils are 4-11 in their last 15 in the fourth game of a 4-in-6 situation. Avalanche are 2-5 in their last 7 overall and Avalanche are 2-8 in their last 10 vs. Eastern Conference and Avalanche are 0-4 in their last 4 vs. Metropolitan. Devils are 1-6 in the last 7 meetings in Colorado and Devils are 4-11 in the last 15 meetings and under is 19-6-5 in the last 30 meetings. Neither team has numbers that stand out so instead of paying the huge juice I would go small on New Jersey or walk away…
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.654 | 0.391 |
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".