10 Tuesday headlines from the AP in 1 minute
Bibliographic record
Abstract
10 of Tuesday's AP headlines read in less than 60 seconds: 10 in 1 on Rivet. Deadly tornadoes hit the Great Plains.A Canadian leader says the bulk of Fort McMurray survived the massive wildfire.A knife attack in Germany has left one dead and several hurt.U.S. Attorney General Loretta Lynch sues North Carolina for discriminating against transgendered people with its so-called bathroom law.Congressional Republicans, back in D.C., are facing the reality Donald Trump may be the party's presidential nominee.The man poised to become the Philippines president-elect is seen as both an emancipator and a looming dictator.North Korea's Kim Jong Un oversees a massive, choreographed parade.Brazil's politics are in disarray, amid a fight over the country's president.Michael Brown's mother's written a book about the day her son was killed by police in Ferguson, Missouri.Warriors star Stephen Curry scored an NBA-record after returning from a sprained knee.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.011 |
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".