← all works
Animal models for COVID-19
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
Opus teacher head0.137
GPT teacher head0.472
- Teacher spread
- 0.335 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Nature
- Topic
- SARS-CoV-2 and COVID-19 Research
- Field
- Medicine
- Canadian institutions
- University of Saskatchewan
- Funders
- National Institute of Allergy and Infectious DiseasesNational Institutes of HealthWorld Health Organization
- Keywords
- Coronavirus disease 2019 (COVID-19)PandemicSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus2019-20 coronavirus outbreakMedicineVirologyImmunityPneumoniaIntensive care medicineBetacoronavirusSevere acute respiratory syndrome coronavirusImmunologyDiseaseOutbreakInfectious disease (medical specialty)Immune systemPathology
- Has abstract in OpenAlex
- no