U.S. beats Germany to advance to World Cup final
Bibliographic record
Abstract
US will await the winner of the semifinal match between England and Japan. Everything has fallen into place for the U.S. women's soccer team. Its back in the Women's World Cup Final for the fourth time after a 2-0 win over top-ranked Germany in the semifinal in Montreal. It wasn't exactly a textbook win, with Germany missing a penalty kick and a questionable call giving the U.S. a penalty shot which it converted. But it does put the U.S. through to the Final on Sunday. You can now listen to full post-match press conference from U.S. coach Jill Ellis and U.S. midfielder Carli Lloyd. Or STAR this story to listen later. Or move onto the next story whenever you're ready.... PRESSER That was U.S. women's soccer midfielder Carli Lloyd and U.S. coach Jill Ellis, talking about the 2-0 win over Germany in the semifinals of the Women's World Cup. The U.S. will face the winner of the England-Japan semifinal match in the FINAL Sunday.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.256 |
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".