Dorion Busy Ahead of Trade Deadline
Bibliographic record
Abstract
It's Trade Deadline day! Brandon Piller and Ross Levitan got started early today to preview the day and the 2 Senators games tonight. We go through all the UFA players on the Senators that have already been moved (Reilly and Coburn) or may be moved (Gudbranson, Dzingel, Forsberg and Anisimov). We talked about the possibility of claiming Victor Mete off waivers from Montreal (and it happened). We recap the Battle of Ontario game on Saturday. And of course we preview tonights games against the Jets and Moose! Support us by supporting our sponsors. BetOnline AG: There is only 1 place that has you covered and 1 place we trust. Betonline.ag! Sign up today for a free account at betonline.ag and use that promocode: LOCKEDON for your 50% welcome bonus. Built Bar: Built Bar is a protein bar that tastes like a candy bar. Go to builtbar.com and use promo code \\"LOCKED15,\\" 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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.139 | 0.001 |
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 teacher head, 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".