[ESPN-TV] Islanders vs Canadiens: Live Stream (NHL Hockey Online 2019)
Bibliographic record
Abstract
The New York Islanders look to bounce back from a 5-0 loss against visiting Boston on Tuesday. The Islanders struggled at both ends of the ice, getting outshot 39-13 with Robin Lehner getting the loss with five goals allowed on 39 shots. Watch Live:: https://247itv.info/ice-hockey Watch Live:: https://247itv.info/ice-hockey Sean Kuraly led the Bruins with a pair of markers with Noel Acciari, Patrice Bergeron and Jake DeBrusk lighting the lamp. Nine players posted points for Boston and Tuukka Rask stopped 13 shots to get the win. The Montreal Canadiens are eyeing back to back wins after defeating Philadelphia 3-1 on the road Tuesday. Sean Couturier scored in the third for the Flyers off of assists from James van Riemsdyk and Claude Giroux with Carter Hart absorbing the loss with two goals allowed on 35 shots. Brandon Gallagher and Shea Weber supplied first period markers for Montreal with Max Domi hitting the empty net. Andrew Shaw posted a pair of helpers for the Canadiens and Carey Price picked up the win with 32 stops. Islanders are 4-1 in their last 5 after scoring 2 goals or less in their previous game and Islanders are 4-1 in their last 5 vs. Atlantic and Islanders are 7-2 in their last 9 games as a road underdog. Canadiens are 5-2 in their last 7 games as a home favorite and Canadiens are 1-4 in their last 5 overall and Canadiens are 1-4 in their last 5 games following a win. Underdog is 6-2 in the last 8 meetings and Islanders are 5-13 in the last 18 meetings. Montreal is tough at home but the Islanders are a great road team so I’m looking at the nice price…
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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 | 0.001 | 0.002 |
| 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 | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.607 | 0.319 |
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".