+#ESPN-TV!! Curling Stadium Alberta Curling Series 2022 Live stream free on 23.10.2022
Bibliographic record
Abstract
Curling Stadium Alberta Curling Series 2022 live free stream today\n\nCurling Stadium Alberta Curling Series 2022\nfee structure establishes curling as the affordable winter sport. There are numerous options and price points available to you. We have leagues that fit everyone.\n\nLive- Curling Stadium Alberta Curling Series 2022\n\nLive- Curling Stadium Alberta Curling Series 2022\n\nThe World Curling Tour is coming to the Curling Stadium Alberta Curling Series 2022\nthis weekend (Oct 21-23)!\n\n16 men’s teams (and one woman from our club!) from across Ontario, New Brunswick, the United States, and Korea will be playing for a prize purse of over $10,000, and valuable ‘world ranking’ points!\n\nThe event format is a triple knockout preliminary round (Friday and Saturday) with 8 teams qualifying for the playoffs on Sunday.\n\nThere are also three St. Thomas teams in the event:\n\n-Team Walker (Terry Walker, Steve Gilbert, Kirk Massey, Jay Larocque) play their first game on Fri @ 9:00am\n\n-Team Hall (Matt Hall, Curtis Easter, Nathan Gonsalves, Laura Neil) play their first game on Fri @ 9:00am\n\n-Team Fanset (Travis Fanset, Aaron Squires, Craig Van Ymeren, Scott Brandon) play their first game on Fri @ 1:00pm\n\nSt. Thomas CC member Scott McDonald will also be in the tournament, playing vice for Team Grattan (Oromocto, New Brunswick) - their first game is Fri @ 1:00pm\n\nAdmission is free - come out to watch some top-level curling and support our local teams!
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.907 | 0.810 |
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".