Isolation and Genome Characterization of Porcine Reproductive and Respiratory Syndrome Virus in P. R. China
Bibliographic record
Abstract
15. Slocombe RF, Slauson DO: 1988, Invasive pulmonary aspergillosis of horses: an association with acute enteritis. Vet Pathol 25:277–281. 16. Smith DR, Fedorka-Cray PJ, Brock MR, et al.: 1998, Epidemiologic herd-level assessment of causative agents and risk factors for winter dysentery in dairy cattle. Am J Vet Res 59:994– 1001. 17. Smith DR, Tsunemitsu H, Heckert RA, Saif LJ: 1996, Evaluation of two antigen-capture ELISAs using polyclonal or monoclonal antibodies for the detection of bovine coronavirus. J Vet Diagn Invest 8:99–105. 18. Sperlich A, Kervin R, Benfield DA, Rowland RRR: 1998, Nucleolar localization of PRRS virus nucleocapsid protein. Proc 79th Annu Conf Res Work Anim Dis, Chicago, IL. 19. Sweeney CR, Habecker PL: 1999, Pulmonary aspergillosis in horses: 29 cases (1974–1997). J Am Vet Med Assoc 214:808–811. 20. Thompson RG: 1988, Special veterinary pathology, 1st ed. BC Decker, Toronto, Canada/Philadelphia, PA. 21. Torres-Medina A, Schlafer DH, Mebus CA: 1985, Rota and coronaviral diarrhea, vol. 1. WB Saunders, Philadelphia, PA. 22. Zhang Z, Andrews GA, Chard-Bergstrom C, et al.: 1997, Application of immunohistochemistry and in situ hybridization for detection of bovine coronavirus in paraffin-embedded, formalinfixed intestines. J Clin Microbiol 35:2964–2965.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".