Generation of a human Middle East respiratory syndrome coronavirus (HCoV-MERS) infectious clone system by recombination of bacterial artificial chromosomes
Bibliographic record
Abstract
Coronaviruses have caused high pathogenic epidemics within the human population on two occasions; in 2003 a coronavirus (HCoV-SARS) caused severe acute respiratory syndrome and in 2012 a novel coronavirus emerged named Middle East respiratory syndrome (HCoV-MERS). Four other species of coronavirus circulate endemically in the human population (HCoV-229E, HCoV-OC43, HCoV-NL63 and HCoV-HKU1), which cause more benign respiratory disease than either HCoV-SARS or HCoV-MERS. The emergence of HCoV-MERS provides an additional opportunity to study the characteristics of coronaviruses. Reverse genetics can be used to study an organism’s phenotype by logical mutation of its genotype. Construction of an infectious clone construct provides a means to investigate the nature of HCoV-MERS by reverse genetics. An HCoV-MERS infectious cDNA clone system was constructed to use for reverse genetics by homologous recombination of bacterial artificial chromosomes (BACs). This system should aid in answering remaining questions of coronavirus genetics and evolution as well as expedite the development of vaccines and prophylactic treatments for HCoV-MERS.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".