Ottawa Senators Prospect Egor Sokolov Talks Off-Season Training With Crosby/MacKinnon And More!
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
It's Shark Week on LOSP!Brandon Piller and Ross Levitan are stoked to have Friend of the Show Egor \\"Sharkolov\\" (Sokolov) back for a long overdue chat! Egor gets into the Belleville Senators push to get to the playoffs, his off-season workouts with some of the worlds best players and a story about a fight he had against another Sens prospect! We also get into what it's like training with Sidney Crosby and Nathan MacKinnon. Plus, in World Juniors action four Sens prospects will be in tonight's Canada vs Finland game!Follow the show on TWITTER, INSTAGRAM, and please subscribe on YOUTUBE!Support us by supporting our sponsors! Built Bar: Built Bar is a protein bar that tastes like a candy bar. Go to http://builtbar.com and use promo code \\"LOCKEDON15,\\" and you'll get 15% off your next order. Learn more about your ad choices. Visit podcastchoices.com/adchoices
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.650 | 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