COMPARATIVE DIAGNOSTIC APPLICATIONS OF ANTIGEN CAPTURE ELISA AND IMMUNOHISTOCHEMISTRY FOR DETECTION OF BOVINE VIRAL DIARRHEA PERSISTENT INFECTION
Bibliographic record
Abstract
The diagnostic ability of antigen -capture enzyme-linked immunosorbent assays (AC-ELISA) and immunohistochemistry using two enzymes labels, alkaline phosphatase (AP) and peroxidase (P), to detect bovine viral diarrhea (BVD) persistent infection (PI) was assessed using serum and ear notch biopsy pairs (n= 469) collected from 12 Holstein dairy herds located in Charlottetown, Canada. The sampled animals were divided into two age groups, A (≤ 6 months, n = 146) and B (≥ 6 months, n = 323). All the animals of group B were pre -screened by serum neutralization test (SNT), and those animals (n=52) which had SN titer ≤ 1:64, as well as all ear notch biopsies (EN) of group A (n=146) were processed to confirm the BVDV persistent infection. Two EN biopsies of each groups A (1.37%) and B (3.48%) were found positive on first and follow up testing by AC-ELISA and immunohistochemical technique using AP enzyme label. Peroxidase label could not be distinguished from skin melanin, and thus was found unsuitable to differentiate between positive and negative tissue sections. There was no significant difference (P>0.05) between AC-ELISA and IHC-AP. Real time RTPCR validated the results as well. Genotype 1 was confirmed in the study area. The study concluded that AC-ELISA and IHC-AP were equally suitable for detection of BVDV persistent infection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".