Paradigm Shift: New Approaches to Understanding Autism Spectrum Disorders
Bibliographic record
Abstract
A significant increase in the prevalence of autism spectrum disorders (ASD), both worldwide and in our country, dictates the need to search for modern and effective methods of prevention, diagnosis and medical care for such patients. At the same time, the results of numerous biomedical research in the field of autism are not reflected in practical healthcare. Aims of this work — substantiation of new approaches to the organization of medical care for people with ASD. The results of promising areas of autism research in the field of genetics, epigenetics, metabolomics, microbiome and multimorbidity, which marked a paradigm shift in the understanding of autism spectrum disorders, and requiring implementation in practice, are analyzed. Based on the concept of 7-p pediatrics (programming child development and health, preventive, predictive, personalized, participatory, multiprofessional, progressive), the necessity and possibility of implementing the results of scientific research into real clinical practice of managing children with autism are substantiated. The results of fundamental scientific research in the field of ASD, revealing their complex and multifaceted nature, allow us to talk about a paradigm shift in understanding this disorder Based on a new concept of medical care — 7P-pediatrics — the results of scientific research can be translated into real clinical practice, including diagnostic, therapeutic, preventive and rehabilitative effects on autism, as well ase programming of the optimal trajectory of the cognitive-behavioral phenotype of children with neurodevelopmental features, including ASD.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".