Alex Ovechkin scores 50th goal of season
Bibliographic record
Abstract
6th time Ovechkin has hit the 50 goal mark A three-time MVP of the NHL is making a strong case to return to his throne. Washington Capitals winger Alex Ovechkin got his 50th goal of the season in a 4-2 win over the Carolina Hurricanes... CUT It's the , and he's well ahead of anyone else in goal scoring this season---his closest competition only has 40. While the Capitals look entrenched in a wild card spot in the East, the second spot is still up for grabs. The Boston Bruins remain in the lead after a 3-2 win over the Florida Panthers. The Ottawa Senators kept pace with a 2-1 shootout win over the Detroit Red Wings, but the Senators are still three points behind. The final playoff team in the West, the Winnipeg Jets, missed a chance to add a cushion to their two-point lead in the wild card race. The Jets lost 3-2 to the New York Rangers. One of the top teams in the conference is in danger of being knocked off their perch. The Nashville Predators lost 5-4 to the Vancouver Canucks, leaving them with only a four-point lead on the 2nd place St. Louis Blues---and while the Predators only have 4 games left to play, the Blues have SIX more to rally to win the Central division. The 3rd place Chicago Blackhawks are only 5 points back.
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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 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.385 | 0.191 |
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".