TREND: World Health Organization. Coronavirus Disease 2019 (COVID-19): Total Confirmed Coronavirus Cases | Country: Canada, 01/27/2020 - 03/18/2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 091-001-001 World Health Organization. Coronavirus Disease 2019 (COVID-19): Total Coronavirus Related Deaths | Country: Canada, 01/27/2020 - 03/18/2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 091-001-002
Bibliographic record
Abstract
World Health Organization. Coronavirus Disease 2019 (COVID-19): Total Confirmed Coronavirus Cases | Country: Canada, 01/27/2020 - 03/18/2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 091-001-001 Dataset: Reports the cumulative count of reported cases confirmed as Coronavirus (COVID-19) worldwide by nation. WHO defines confirmed cases as a person with laboratory confirmation of COVID-19 infection, irrespective of clinical signs and symptoms. Coronaviruses are a large family of viruses that may cause illness in animals or humans. In humans, several coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The most recently discovered coronavirus causes coronavirus disease COVID-19. This new virus and disease were unknown before the outbreak began in Wuhan, China, in December 2019. WHO is publishing daily updates on the COVID-19 situation worldwide and offers guidelines and other information on its website: https://www.who.int/emergencies/diseases/novel-coronavirus-2019 Many national and local public health agencies are also publishing location-specific detail. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/ Category: Health and Vital Statistics, International Relations and Trade Subject: Epidemics, Epidemiology, Diseases Source: World Health Organization http://www.who.int/ The World Health Organization (WHO) is the directing and coordinating authority for health within the United Nations system. It is responsible for providing leadership on global health matters, shaping the health research agenda, setting norms and standards, articulating evidence-based policy options, providing technical support to countries, and monitoring and assessing health trends. WHO was established in 1948. https://www.who.int/
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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 | 0.001 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.019 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.160 | 0.111 |
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".