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Free!!!! NHL draft lottery 2020 Live: Stream Online Full Event

2020· dataset· en· W6902030589 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2020
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsLotteryHull

Abstract

fetched live from OpenAlex

2020 NHL Draft Lottery this Friday at 8 p.m. ET on NBCSN, hosted by Kathryn Tappen. 🔴2020 NHL Draft Lottery Watch Now 📱📺 ➤➤ https://livevssonline.co/nhldraft2020live/ Watch Now 📱📺➤➤ https://livevssonline.co/nhldraft2020live/ Immediately following the 30-minute program, a special half-hour edition of NHL Live will be presented at 8:30 p.m. ET on NBCSN with reactions to the Draft Lottery as well as a preview of the NHL’s latest Return to Play plans. The show will be hosted by Liam McHugh alongside analysts Keith Jones and Patrick Sharp. The Draft Lottery will feature interviews with NHL Commissioner Gary Bettman, the consensus top prospect Alexis Lafreniere, and the general manager of the organization that wins the Draft Lottery. WHAT: 2020 NHL Draft Lottery WHEN: Friday, June 26 – 8 p.m. ET TV: NBCSN LIVE STREAM: You can watch the 2020 NHL Draft Lottery on NBC Sports’ live stream page and the NBC Sports app. [How the 2020 NHL Draft Lottery will work] Team odds Since not every team played the same number of games, they have been ranked by points percentage at the time of the March NHL pause. 1. Red Wings – 18.5% 2. Senators – 13.5% 3. Senators – 11.5%* 4. Kings – 9.5% 5. Ducks – 8.5% 6. Devils – 7.5% 7. Sabres – 6.5% ================== 8. Team A – 6% 9. Team B – 5% 10. Team C – 3.5% 11. Team D – 3% 12. Team E – 2.5% 13. Team F – 2% 14. Team G – 1.5% 15. Team H – 1% *Originally owned by San Jose Places 8-15 will be taken by the losing teams in the NHL’s Return to Play Qualifying Round. See those matchups here. The prospects Lafreniere will be the No. 1 pick. That’s been settled. After that? It could go a lot of different ways. Quinton Byfield (Sudbury – C- OHL), Tim Stutzle (Adler Mannheim – C/LW – DEL), Lucas Raymond (Frolunda – LW/C – SHL), Jamie Drysdale (Erie – D – OHL), Marco Rossi (Ottawa – C – OHL), Cole Perfetti (Saginaw – C – OHL), Jake Sanderson (D – USNTDP) are among the top prospects expected to be selected early. San Jose was headed towards the NHL draft lottery before the global coronavirus pandemic halted the season, and the league’s plan to restart the campaign confirmed that fate. Sharks fans will be watching Friday’s lottery with piqued interest, but not because they can benefit from it. The Ottawa Senators own the Sharks’ first-round pick thanks to the Erik Karlsson trade nearly two years ago. Ottawa had the NHL’s second-worst record this season and San Jose the third-worst, meaning the Senators have the best odds of any team to land the No. 1 pick. The Sharks’ pick winning the lottery would add insult to Karlsson’s injuries over the last two seasons, which have limited the two-time Norris Trophy-winning defenseman to 128 of San Jose’s 172 regular-season and playoff games since the blockbuster trade that brought him to the Sharks.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.094
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0070.004
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.9060.858

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.

Opus teacher head0.041
GPT teacher head0.301
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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