Efficacy of Coronavirus disease (COVID-19) safety protocol at the 2021 Wrestling European Olympic Games Qualifier organized in Budapest
Bibliographic record
Abstract
Introduction and Aim: The pandemic Covid-19 imposes several difficulties to organize multi-day international sports events. This is - in part - due to the close physical contact among the athletes, known to promote the spread of virus, even in individual sports, such as wrestling. Thus, at the Wrestling Qualifier it was of utmost importance to introduce screening for the disease and exclude infected participants (and then isolate them). The medical team and the COVID Marshals worked together on developing a screening protocol and aimed to test the efficacy during this competition. Material and Methods: The event was attended by 281 competitors from 37 countries. The criteria to enter Hungary were a negative polymerase chain reaction (PCR) test, epidemiological and symptomatic negativity within 72 hours. We also performed Antigen rapid tests (ART, chromatographic immunoassay) and retesting if necessary. Upon departure a negative PCR test or a certificate issued after the end of the quarantine period was required. Results: In total, 1,287 PCR tests and 1,250 rapid tests were performed. At arrival, there were 21 PCR positive (1.4%) individuals, and they were quarantined. At the departure 6 PCR tests were positive (0.47%). One of the ARTs performed at the accreditation was positive. Conclusion: The medical staff has developed a successful protocol to screen for Covid-19 and isolate participants as indicated by the very low positivity for Covid-19 at departure. Thus such protocol can be used for organizing multi-day international sports events.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".