HUNTERS' PREFERENCES FOR BEHAVIOUR CHANGE BASED ON PERCEIVED RISK OF TUBERCULOSIS AND BRUCELLOSIS INFECTION FROM WOOD BISON IN CANADA
Bibliographic record
Abstract
Intro: Coronavirus disease (COVID-19) is currently a global health crisis and is caused by a new strain of coronavirus.However, emerging literature of case reports noted possible extrapulmonary manifestations of the disease.Because COVID 19 is a relatively new disease, at present, little existing literature tackles the diagnosis and therapeutic management of COVID-19-related conditions outside the pulmonary system.Methods: This is a case of a 24-year-old male presented with the chief complaint of sudden stiffening of all extremities.Noncontrast computed tomography (CT) scan was unremarkable.Chest X-ray revealed interstitial pneumonia and SARS-CoV-2 RT-PCR (OPS/NPS) was positive.Electrocardiogram (ECG) findings showed supraventricular tachycardia and had elevated Troponin I levels.Pertinent physical findings noted were slurring of speech, dysmetria, and vertical nystagmus.Findings: The patient was initially treated as a case of Bacterial Abscess versus Viral encephalitis.Pericardial ultrasound revealed small pericardial effusion and was started on Colchicine.Repeat cranial CT scan noted unremarkable results but due to persistence of symptoms, the patient was started with Dexamethasone.On Day 16 of illness, the patient was noted to have full resolution of symptoms.Rapid antibody testing was done which revealed positive for both IgG and IgM hence the patient was discharged with the final diagnosis of Viral Myopericarditis resolved, Viral encephalitis resolved, COVID-19 pneumonia recovered.Conclusion: Extrapulmonary manifestations have been reported increasingly as an atypical presentation of COVID 19 infection.Early recognition of viral myopericarditis and viral encephalitis as a manifestation of COVID 19 can lead to the initiation of proper treatment and management.More reports on these cases can aid future studies on diagnostics and therapeutic approaches during the COVID-19 pandemic.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".