AL quick look: Twins rookie homers on first MLB pitch
Bibliographic record
Abstract
Twins beat Oakland A's 13-0 The first ball pitched to a rookie ends up out of the park. Here's a quick look at action from around the American League. You can't have a first at-bat better than Minnesota Twins rookie center fielder Eddie Rosario. On the VERY first pitch of his major league career, he sent the ball soaring 400 feet over the left-field wall as the Twins blew out the Oakland A's 13 to 0. He's the 29th player in major league history to hit a home run on his very first pitch. In the rest of the AL Central, the Chicago White Sox rallied past the Detroit Tigers 7-6 thanks to a 4-run 8th inning. Sox left fielder Melky Cabrera batted in 4 runs. The Cleveland Indians racked up 13 hits in a 10-3 win over the Kansas City Royals. In the AL East, the Toronto Blue Jays beat the New York Yankees 5 to 1. The Tampa Bay Rays topped the Boston Red Sox 5-3. And in the AL West, the Texas Rangers blew out the Houston Astros 11-3. The L-A Angels needed a 9th-inning RBI double from second baseman Johnny jee-uh-vuh-TELL-uh to secure a 4-3 win over the Seattle Mariners.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.411 | 0.148 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".