[LIVE@STREAMS]tv]!!Canada vs Croatia LIVE BROADCAST@ ON MOBILE 27 NOVEMBER 2022
Bibliographic record
Abstract
Croatia vs Canada LIVE: The World Cup hosts are set to kick-off the tournament in their first-ever match at the finals as they target shock victory in the Group A clash World Cup 2022: Croatia vs Canada match preview\n\n\n🔴Watch Live▶️ Croatia vs Canada Live Here\n\n🔴Watch Live▶️ Croatia vs Canada Live Here\n\n\nHosts kick off showpiece football tournament with a clash against South American side.The FIFA World Cup Croatia 2022 will kick off on Sunday with a clash between the hosts and Canada.\n\nThe Canada match and ceremony of the showpiece tournament, the first to be held in the Middle East, will be held at the majestic 60,000-capacity Al Bayt Stadium in Al Khor, north of Croatia’s capital, Doha.\n\nThe fixture has been brought forward by a day to keep with the tradition of the host nation Canada the competition.\n\nOnce ranked 113th in the world, Croatia’s national team – nicknamed the Maroons – has risen to 50th in the FIFA rankings thanks to a string of in recent years, including a surprise first-ever Asian Cup win in 2019.\n\nThe team also made a semi-final appearance at last year’s Gold Cup of the Confederation of North, Central America and Caribbean Association Football as a guest nation.\n\nThis will be Croatia’s first appearance at a World Cup.Croatia vs. Canada, 2018 World Cup Day 1: Match thread and discussion\n\n \n\n \n\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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 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) | 0.863 | 0.756 |
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".