DNA MICROARRAYS ON AGAROSE-COATED GLASS SLIDES FOR PLANT PATHOGEN IDENTIFICATION
Bibliographic record
Abstract
Agarose-coated glass slides were used as a platform for microarray analysis applied to plant pathogen identification. The agarose substrate combines the desirable features of fluorescence detection and high DNA immobilization capacity, in contrast to nylon membranes, which are unsuitable for fluorescent detection, and standard glass microarray slides, which have a low capacity for immobilization. Oligonucleotide probes were immobilized on the agarose substrate, then hybridized to fluorescently labeled sample DNA. Agarose concentration and hybridizing DNA length affected hybridization efficiency. Probes arrayed on the agarose distinguished Didymella bryoniae and Botrytis cinerea from each other with no cross reaction. No interference from other common greenhouse plant pathogens was found. Results compared favorably with those obtained on nylon membranes, and surpassed those achieved on the commercially available glass substrate. Agarose-coated slides are easily produced, and with the use of a manual arrayer, are an inexpensive alternative to commercial microarrays for small scale applications.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.008 |
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".