~+#LIVE-STREAM!! Alberta Curling Series: Leduc 2022 Live stream ON 23.10.22
Bibliographic record
Abstract
Alberta Curling Series: Leduc 2022 live free stream today\n\nAaron Sluchinski with Jeremy Harty at third, Kerr Drummond and Dylan Webster on the front end wins the 2022 Curling Stadium Alberta Curling Series.\n\n \n\nLive- Alberta Curling Series: Leduc 2022\n\nLive- Alberta Curling Series: Leduc 2022\n\n \n\nWelcome to the\nAlberta Curling Series! \n\nThe Alberta Curling Series is host to multiple Men's, Women's and Mixed Doubles curling events, with all earned points counting towards the World rankings, Canadian Team Ranking System and Curling Alberta rankings. \n\n\n\nWe've partnered with the Leduc Recreation Centre to provide an elite curling facility for teams and fans to enjoy. In association with Curling Stadium, all events will have six sheets of live streaming coverage to provide maximum exposure for teams and sponsors
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.833 | 0.621 |
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".