Samsung Electronics brings the world cyber games finals to the U.S. for the first time in 2004
Bibliographic record
Abstract
More Than One Million Gamers Expected To Participate Worldwide Finals of World's Top Digital Entertainment Event To Be Held This October in San Francisco First Online Qualifying Events In U.S. and Canada "Go Live" May 15 Los Angeles, CA -- San Francisco will be the world's Cyber capital this coming October when Samsung Electronics, a global digital entertainment leader, brings the World Cyber Games (WCG) Grand Final to the U.S. for the first time. The tournament, which has grown into the greatest global festival for gamers and digital entertainment culture, will allow 700 of the world's best gamers from 60 countries to compete for the #1 position at the Bill Graham Civic Auditorium, October 4-10. The announcement was made at the E3 show in Los Angeles. In addition to holding the finals in the U.S., the World Cyber Games 2004 and Samsung are giving more gamers than ever a chance to win $400,000 in prizes via the Internet. For the first time ever, beginning May 15, 2004, an extensive roster of WCG online qualifier events will be held in the U.S. and Canada each month through August. Online competition will include four world renowned games -- Half-Life: Counter-Strike (team-based), Unreal Tournament 2004, Starcraft: Brood War, and Warcraft III: Frozen Throne - and the top 2 players or teams in each game in each country advance directly to the WCG 2004 USA Final and WCG 2004 Canada Final. Casual gamers can also join in the excitement by logging on to play special Samsung-developed Flash games.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.521 | 0.306 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".