A rational approach to the child with mental retardation for the paediatrician
Bibliographic record
Abstract
Mental Retardation (MR) is a problem encountered in almost all paediatric clinical settings. The assessment of a child with MR is a common diagnostic and management dilemma for paediatricians. The field of MR research is currently in a state of flux regarding not just our understanding of the condition, but also in the language and the processes we use in naming, defining and describing MR. This article will provide a better understanding and a rational approach toward MR. Prevalence rates for MR are variable in the literature and may be attributable to the variation in major classification systems and the diversity in study operation definitions and methodologies. Etiologies of MR are diverse and include many different influences. MR most often presents during infancy or preschool years as developmental delay. There is no universally accepted approach to the etiological work-up of mental retardation. The number of medical conditions associated with MR that are completely treatable by medical means remains small. The paediatrician plays a key role establishing short and long term treatment goals, as well as providing support to families who have children with MR.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.008 | 0.019 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".