Development of the multiplex system for determining markers of predisposition to cardiovascular diseases
Bibliographic record
Abstract
A multiplex system to detect mutations at loci rs5985, rs1799983, rs5918, rs2243093, rs4673, rs4646994, rs1722009, rs3980933, rs71103505 associated with the development of cardiovascular diseases has been developed. These mutations belong to different types - SNP, STR, Ins/Del - therefore, minisequencing and fragment analysis technologies were used to determine them. Oligonucleotide analysis was performed to amplify all loci in a single reaction format. The minisequencing technology, in comparison with fragment analysis, required additional stages of sample preparation; therefore, oligonucleotides for loci with SNP were combined into a separate plex. For the two plexes created, the same composition of the amplification mixture and parameters of the PCR reaction program were optimized, and “bin” panels were developed to interpret the results. The testing of the system confirmed the possibility of detecting mutations at nine loci with high sensitivity and reproducibility.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".