[ESPN-TV] Avalanche vs Stars: Live Stream (NHL Hockey Online 2019)
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 Colorado Avalanche remain in the playoff conversation after downing Minnesota on the road 3-1 on Tuesday. Zach Parise scored a second period power play goal for Minnesota and Devan Dubnyk gave up two goals on 37 shots to get the loss. Watch Live:: https://247itv.info/ice-hockey Watch Live:: https://247itv.info/ice-hockey The Avalanche received goals off the sticks of Tyson Barrie in the first and Tyson Jost in the second. Ian Cole added an empty netter in the third and Philipp Grubauer picked up the win for Colorado with a 36 save effort. The Dallas Stars are eyeing back to back wins after defeating visiting Florida 4-2 on Tuesday. Aleksandar Barkov was the Florida offense with a goal just 2:11 in to the first and a power play tally in the second. Sam Montembeault was charged with three goals on 36 shots to get the loss for the Panthers and fall to 4-2-1. Alexander Radulov led the Dallas offense with a pair of third period goals while Jamie Benn and John Klingberg added markers. Benn assisted twice and Tyler Seguin added four helpers for the Stars to make the 20 saves of Ben Bishop a winner. Avalanche are 4-1 in their last 5 vs. Central and Avalanche are 12-25 in their last 37 overall and Avalanche are 33-72 in their last 105 road games. Stars are 5-1 in their last 6 vs. Central and Stars are 5-2 in their last 7 games playing on 1 days rest and Stars are 7-3 in their last 10 overall. Avalanche are 1-6 in the last 7 meetings in Dallas and Avalanche are 5-2 in the last 7 meetings and favorite is 4-1 in the last 5 meetings. Colorado is fighting for the postseason but I give Dallas the advantage on home ice…
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.575 | 0.917 |
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