Prototype Single Step Lateral Flow Technology for Detection of Avian Influenza Virus and Chicken Antibody to Avian Influenza Virus
Bibliographic record
Abstract
A rapid and effective lateral flow assay (LFA) for detection of avian influenza virus (AIV) was developed. For antigen capture, the assay used monoclonal antibody specific for a conserved nuclear protein (NP) epitope, immobilized on a cellulose acetate matrix, in conjunction with a second NP monoclonal antibody chemically linked to either coloured latex beads or colloidal gold particles contained in a sample pad for detection. Virus sample added to the sample pad flowed into the trapping antibody to form a visible band as well as a second, control band further along the acetate strip. The control band consisted of recombinant protein A/G, also immobilized on the matrix. A second LFA for detection of chicken antibody to AIV was developed where NP antigen was immobilized on the matrix with recombinant protein A/G immobilized as a control band. Latex beads or colloidal gold particles to which monoclonal anti-chicken antibody was attached, were used as the indicator system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".