Prediction of the level of cognitive functional independence in acute care following traumatic brain injury
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To determine a predictive model for cognitive functional outcome of patients with traumatic brain injury (TBI) at discharge from acute care. METHODS AND PROCEDURE: Three hundred and thirty-five patients were included in this analysis. Variables considered were age, education, initial score on the Glasgow Coma Scale (GCS), duration of post-traumatic amnesia (PTA), cerebral imaging results and the need for neurosurgical intervention. EXPERIMENTAL INTERVENTIONS: Functional Independence Measure (FIM). MAIN OUTCOMES AND RESULTS: Results of this analysis indicated better cognitive FIM at discharge from acute care settings for patients with TBI when PTA was less than 24 hours, when level of education was higher, when no parietal lesion was identified, when no neurosurgical intervention was required, for patients with TBI who were younger and who presented with a higher GCS score upon admission. CONCLUSIONS: This model will help to plan resource allocation for treatment and discharge planning within the first weeks following TBI.
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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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".