TREND: European Centre for Disease Prevention and Control. Coronavirus Disease 2019 (COVID-19): Total Confirmed Coronavirus Disease 2019 (COVID-19) Cases | Country: Canada, 12/31/2019 - 06/12/2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 092-001-003
Bibliographic record
Abstract
European Centre for Disease Prevention and Control. Coronavirus Disease 2019 (COVID-19): Total Confirmed Coronavirus Disease 2019 (COVID-19) Cases | Country: Canada, 12/31/2019 - 06/12/2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 092-001-003 Dataset: Reports a cumulative total of reported cases confirmed as coronavirus disease 2019 (COVID-19) worldwide by nation. ECDC defines confirmed cases as a person with laboratory confirmation of COVID-19 infection, irrespective of clinical signs and symptoms. Data Planet calculates the cumulative total of casesas a sum of daily cases reported by ECDC since 12/31/2019. At the end of December 2019, Chinese public health authorities reported several cases of acute respiratory syndrome in Wuhan City, Hubei province, China. Chinese scientists soon identified a novel coronavirus as the main causative agent. The disease is now referred to as coronavirus disease 2019 (COVID-19), and the causative virus is called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronaviruses are viruses that circulate among animals with some of them also known to infect humans. Bats are considered natural hosts of these viruses though several other species of animals are also known to act as sources. Zoonotic coronaviruses have emerged in recent years to cause human outbreaks, such as the Severe Acute Respiratory Syndrome (SARS) in 2003 and the Middle East Respiratory Syndrome (MERS) since 2012. https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Category: Health and Vital Statistics Subject: Epidemics, Epidemiology, Diseases Source: European Centre for Disease Prevention and Control An agency of the European Union, the European Centre for Disease Prevention and Control (ECDC) was established in 2005. Its mission is to identify, assess and communicate current and emerging threats to human health posed by infectious diseases. In order to achieve this mission, ECDC works in partnership with national health protection bodies across Europe to strengthen and develop continent-wide disease surveillance and early warning systems. https://www.ecdc.europa.eu/en
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 | 0.003 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.153 | 0.084 |
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".