Episode 6.111: Simon Ho, Jess Nicolette, Yaw Attuah, Alex Stephenson, Jonathan Yam & Alex Wood
Bibliographic record
Abstract
HOLY SNIKES! After 111 episodes, we can finally say that our Toronto Raptors are NBA champions!!! It's our season 06 finale, and we got lots of hot takes from guests about their favourite moments from this championship run. Lots of love for Lowry, the mess of the parade, the Masai altercation, THE SHOT, so much more, Tell Me Something I Don't Know segment (We reach the 100th Raptor!) and you best believe Freddie's shooting more cannons off. These last six seasons of the podcast have been a wild ride and we love doing this. Thanks so much for listening and we'll see you in the off-season! Special guests on this episode: Simon Ho , Jess Nicolette , Yaw Attuah , Alex Stephenson, Jonathan Yam and Alex Wood ! Our friend Mark Baker was trampled at the victory parade and tore his achilles. Please donate a couple bucks to his GoFundMe if you can!
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".