Nadal, Djokovic, Serena all advance at French Open
Why this work is in the frame
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Bibliographic record
Abstract
The King of Clay had an easy first-round win at Roland Garros, and Rafael Nadal's say he's putting this year's struggles behind him as he tries for his tenth French Open title. The King of Clay had an easy first-round win at Roland Garros, and Rafael Nadal's say he's putting this year's struggles behind him as he tries for his tenth French Open title. The runner-up to Nadal in last year's French Open was Novak Djokovic, and the number-one player in the world rankings also had an easy first-round win. Because of Nadal's early-season woes, he fell to the sixth seed in the French, meaning there can't be a repeat of last year's epic final between Djokovic and Nadal. Instead, if both men continue to win, they'd meet in the quarterfinals. The biggest upset of the men's tourney saw 22-year-old American Jack Sock defeating tenth-seeded Bulgarian Grigor Dimitrov in straight sets. In the women's bracket top-seed Serena Williams breezed into the second round in straight sets. Sixth-seeded Canadian Genie Bouchard was upset by Kristina Mladenovic (mla-DUNN-oh-VITCH) 6-4, 6-4.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.009 |
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 it