The common <i>BDNF</i> polymorphism may be a modifier of disease severity in Rett syndrome
Bibliographic record
Abstract
Patients with intracerebral hemorrhage are likely to be at greater risk of stress ulceration as they are more likely to be admitted to the intensive care unit, undergo major surgery, and more likely to have an underlying diathesis to bleeding compared to patients with ischemic stroke. 2 Second, we included registry data obtained by screening patient records for clinically documented gastrointestinal bleeding which likely resulted in underreporting of bleeding episodes, particularly minor bleeds.The comparative frequency of the more serious gastrointestinal hemorrhages requiring transfusion (unlikely to be missed by chart review) was 36/ 6,853 (0.5%) in our study 1 and 1/51 (2.0%) in the cohort study by Misra et al. 2 Unfortunately, we were unable to comment on the etiologies of gastrointestinal bleeding since this information was not captured in our study.1 We agree that further research is required to explore a potential gender effect.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".