Traumatismo cranioencefálico: avaliação da ocorrência de heminegligência e de déficit atencional por tarefas de cancelamento
Bibliographic record
Abstract
Hemineglect (HN) is a widely studied syndrome after\nunilateral lesions due to stroke. However, although\nthere are some studies with HN rehabilitation of posttraumatic\nbrain injury (TBI), there seems to be no published data about the prevalence of HN in TBI through\ncancellation tasks. Thus, the objective of this study was\nto characterize the occurrence of this syndrome and of\nattentional deficits in patients with TBI by means of the\nBells Test and of a line cancellation task. The sample\nwas comprised of 21 patients with TBI and 21 healthy\ncontrols matched by education, age and frequency of\nwritten language habits. There was a poorer performance\nof patients with TBI with a greater number of omissions\non the left side and lower speed processing. In addition,\nsuggestive signs of HN were found in 38 % of the sample\nof TBI patients. More research is needed to characterize\nclinical syndromes regarding the occurrence of HN after\na TBI through the traditionally known cancellation\nparadigm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.001 | 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".