Bibliographic record
Abstract
Finding low cost, rapid tests to monitor microcystins in water is paramount to protect environmental and public health worldwide. Bioassays like Protein Phosphatase Inhibition Assay (PPIA) and Enzyme-linked Immunosorbent Assay (ELISA) have many advantages over liquid chromatography–tandem mass spectrometry (LC-MS/MS). Analytical cost per sample was found to be $136 by ELISA and $365 by LC-MS/MS. An agreement of 76% was found between ELISA and LC-MS/MS results from 2010 to 2012 (n=854) on the basis of Method Detection Limits (MDLs). Among samples with LC-MS/MS results >1.5μg/L, ELISA missed 3 samples in 2010, 1 in 2011 and none in 2012. Correlation between PP2A and ELISA was strong (R2=0.8155, p=0.8054, n=27) in surface water samples but non-existent in drinking water (R2=0.0366, p=0.0665, n=38). PP2A was found useful for monitoring non-coloured surface water but not for drinking water. A 2-tier test system is proposed: tier-1 ELISA and tier-2 PP2A for surface water samples.
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 | 0.018 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".