Spurs and Cavs win big; Bulls rally to beat Raptors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The defending NBA champs won in a rout and slowed down the hottest player in the process. It was the San Antonio Spurs 130 the Oklahoma City Thunder 91. The Spurs Tony Parker led the way with a game high 21 points and held the Thunder's star guard Russell Westbrook to just 16. cut (Parker) The Cleveland Cavaliers keep winning, easily beating the Memphis Grizzlies 111-89. All 5 starters were in double figures for the Cavs including Kevin Love, who scored 22 points to go with 10 rebounds cut (Love) The Cavs are 28-6 since the middle of January. The team right behind the Cavs in the Central Division, the Chicago Bulls, pulled out a win against the Toronto Raptors 116-103. Coach Tom Thibodeau's team fell behind early, but outscored the Raptors 39-21 in the final quarter. cut (Thibodeau) The Indiana Pacers ended a 6 game losing streak edging the Washington Wizards 103-101. The Pacers are clinging to the final playoff spot in the Eastern Conference, a half game ahead of Brooklyn and Charlotte. Those two teams went against each other on Wednesday night with Brooklyn winning by 3 points. Atlanta, Miami, Houston, Sacramento, Portland, Philadelphia, the LA Clippers and the LA Lakers were also winners in NBA action. I'm Jack Schmerer and you're listening to Rivet.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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