Last-second goal lifts Lightning over Canadiens
Bibliographic record
Abstract
>Final score came with 1.1 seconds left There are last second goals, and then there are ACTUAL last second goals. The winning goal in the Tampa Bay Lightning's 2-1 victory over the Montreal Canadiens fits into that second category. 1.1 seconds were left when Lightning center Tyler Johnson made the final shot.... CUT Those last second heroics put the Lightning on the verge of sweeping the Canadiens and moving onto the NHL Eastern Conference Finals. Canadiens winger Brendan Gallagher says even down 3 games to 0, with their backs against the wall, the Canadiens have to believe they can win this series. CUT Besides the final score, the Canadiens won most of the stat battles in Game 3--they had a 31-19 advantage in shots on goal, and won 52 percent of the faceoffs. Both teams will have to deal with a quick turnaround, as they'll play Game 4 tonight.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.130 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads 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".