[𝐋𝐈𝐕𝐄@𝐒𝐓𝐑𝐄𝐀𝐌~#NBC!]* Canada vs Italy Live Coverage Davis Cup 2022 Broadcast At TV Channel 26th November 2022
Bibliographic record
Abstract
Italy vs Canada live stream: Watch today’s Davis Cup semifinals online\n\n\n📺📱👉 Italy vs Canada Live\n\n📺📱👉 Davis Cup Semi Finals Live\n\n\nItaly vs Canada live match starts on 26 Nov 2022 at 09:00 UTC at Palacio de Deportes Jose Maria Martin Carpena, Malaga, Spain. Italy v Canada is part of Finals, Playoffs. Results of the previous head to head matches between Italy and Canada are also available on Sofascore.\n\nBy Alberto Amalfi | Thursday, November 24, 2022\n\nCanada played catch-up to edge Germany—and continue its quest to collect a maiden Davis Cup.\n\nVeteran Vasek Pospisil and Denis Shapovalov rallied past Kevin Krawietz and Tim Puetz, 2-6, 6-3, 6-3 to clinch Canada's 2-1 victory over Germany in a thrilling doubles duel in Malaga, Spain.\n\nMore: Nick Bollettieri Tribute\n\nThe victory vaults Canada into its fourth Davis Cup semifinal where it will face Italy.\n\nEarlier, Simone Bolelli and Fabio Fognini defeated Tommy Paul and Jack Sock 6-4, 6-4 to seal Italy's 2-1 victory over the United States. \n\nCanada, which was runner-up to host Spain in the 2019 Davis Cup Final staged in Madrid, is intent on capturing its first Davis Cup in history.\n\n"It feels amazing," Pospisil said. "Obviously we have had some nice taste of success in Davis Cup in previous years and made the final in 2019. So we are obviously hungry to kind of experience that again and go, you know, one further. Obviously that's the thing we'd all love to do at some stage in our careers.\n\n"We're definitely looking for that title this week, it's what we want, but obviously every match is so tough."\n\nFelix Auger-Aliassime fired 15 aces and won 31 of 35 first-serve points defeating Oscar Otte 7-6(1), 6-4 to level Canada with Germany after two matches and set the stage for the decisive doubles.\n\n \n\nΤhe CORD-19 dataset released by the team of Semantic Scholar1 and\nΤhe curated data provided by the LitCovid hub2.\nThese data have been cleaned and integrated with data from COVID-19-TweetIDs and from other sources (e.g., PMC). The result was dataset of 500,430 unique articles along with relevant metadata (e.g., the underlying citation network). We utilized this dataset to produce, for each article, the values of the following impact measures:
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.617 | 0.350 |
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; the direct Gemma label and the distilled Codex classifier 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".