Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To characterize the risk factors for stroke in children and their relationship to outcomes. METHODS: We reviewed charts of children with ischemic and hemorrhagic stroke seen at Hopital Sainte-Justine, Montreal between 1991 and 1997. RESULTS: We found 51 ischemic strokes: 46 arterial and 5 sinovenous thromboses. Risk factors were variable and multiple in 12 (24%) of the 51 ischemic strokes. Ischemic stroke recurred in 3 (8%) patients with a single or no identified risk factor and in 5 (42%) of 12 patients with multiple risk factors (p = 0.01). We also found 21 hemorrhagic strokes, 14 (67%) of which were caused by vascular abnormalities. No patient with hemorrhagic stroke had multiple risk factors. Hemorrhagic stroke recurred in two patients (10%). Outcome in all 72 stroke patients was as follows: asymptomatic, 36%; symptomatic epilepsy or persistent neurologic deficit, 45%; and death, 20%. Death occurred more frequently in patients with recurrent stroke (40%) than in those with nonrecurrent stroke (16%). CONCLUSIONS: Multiple risk factors are found in many ischemic strokes and may predict stroke recurrence. Recurrent stroke tends to increase rate of mortality. Because of the high prevalence and importance of multiple risk factors, a complete investigation, including hematologic and metabolic studies and angiography, should be considered in every child with ischemic stroke, even when a cause is known.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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 it