Detection of microcystin-producing<i>Microcystis</i>in Guanqiao Lake using a sandwich hybridization assay
Bibliographic record
Abstract
Based on sequence analyses of the mcyJ gene from Microcystis strains, a probe pair TJF and TJR was designed and a sandwich hybridization assay (SHA) was established to quantitatively detect microcystin-producing Microcystis. Through BLAST and cyanobacterial culture tests, TJF and TJR were demonstrated to be specific for microcystin-producing Microcystis. A calibration curve for the SHA was established, and the lowest detected concentration was 100 cells·mL(-1). Laboratory cultures and field samples from Guanqiao Lake were analyzed with both the SHA and microscopy. The cell number of microcystin-producing Microcystis and that of total Microcystis were compared. The biotic and abiotic components of the samples were of little disturbance to the SHA. In this study, a SHA was established to detect Microcystis, providing an alternative to PCR-ELISA and real-time PCR technology.
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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 | 0.000 |
| 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 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".