PREDICTIVE GENETIC SIGNS OF INTRAUTERINE GROWTH RETARDATION SYNDROM IN NEWBORNS
Bibliographic record
Abstract
The influence of genetically determined factors of mutation genetic pressing leads to genetic instability increasing or reducing genom’s sensitivenes to further mutant action, which is of major importance in developing the syndrome of intrauterine growth retardation (IUGR) in newborns. The main markers of genetic instability are the changes in morphological cell characteristics (cytogenetic, cytological, cytodensimetric), polymorphism of genes of xenobiotics detoxication GSTM1 and GSTТ1, changes in enzyme activity of glutathione acid and oxidation protein modification. In order to define the leading factors of destruction of genetic status of newborns with IUGR syndrome a discriminant and correlation analysis was conducted, which determined the links between the genes of xenobiotics detoxication GSTM1 and GSTТ1, by the indices of morphological functional genome state, enzymes activity of glutathione system and oxidation protein modifications and development of IUGR syndrome. The model of the statistic analysis of cytogenic, molecular genetic and biochemical characteristics enables to obtain an objective characteristic of the state of inheritance apparatus of newborns with IGR in comparison with healthy newborns.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".