Predictors of Intellectual Function After a Unilateral Cortical Lesion: Study of 635 Patients From Infancy to Adulthood
Bibliographic record
Abstract
This study investigated potential predictors of intellectual outcome in 417 children and 218 adults who had sustained a unilateral cortical lesion. Of these, 295 cases were collected from the scientific literature and 340 from medical records at seven hospitals in Canada Different sets of predictors emerged for the Wechsler Verbal and Performance IQ values, accounting for differing variances (i.e., 12.4% and 20.1%, respectively). The volume of the lesion was the factor that explained the most variance (i.e., 4.95% and 11.7%, respectively). Age at lesion onset was significantly and positively correlated with verbal intelligence scores. This variable, considered independently or in interaction with other predictors, did not account for a large portion of the variance explained in intelligence. This refutes the commonly held notion that early onset of the insults results in a better prognosis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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, 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".