Flexible Microarray Construction and Fast DNA Hybridization Conducted on a Microfluidic Chip for Greenhouse Plant Fungal Pathogen Detection
Bibliographic record
Abstract
This study employed a microfluidic method in which probe creation does not require pin-spotting and fast hybridization is conducted on the same microarray chip for the detection of three greenhouse pathogens ( Botrytis cinerea, Didymella bryoniae, and Botrytis squamosa). In this method, 16 oligonucleotide probe line arrays were created on a glass substrate by a microfluidic printing method. Then, low amounts of the DNA samples (1 fmol of oligonucelotides or 1.4 ng of PCR products) were introduced into the microchannels that were orthogonal to these probe lines. The hybridizations of 16 samples (21-mer complementary oligonuleotides and approximately 260 bp PCR products) were fulfilled at the channel-probe line intersections and in a short time (minutes). The optimization of probe immobilization and sample hybridization are described in detail. The method successfully detected and discriminated between two 260 bp PCR products with a one-base-pair difference from closely related greenhouse plant fungal pathogens (B. cinerea and B. squamosa).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".