Intraventricular Hemorrhage and Post-Hemorrhagic Ventricular Dilatation
Bibliographic record
Abstract
Abstract Germinal-intraventricular hemorrhage is still a common complication in infants who are born prematurely. The onset of the hemorrhage is in the germinal matrix, a brain structure that contains a dense network of immature vessels. The immature vessels are susceptible to fluctuations in blood flow, which can occur in preterm infants due to the lack of cerebral autoregulation. A distinction is made between low-grade hemorrhage and severe hemorrhage. Severe hemorrhages are more likely to have a complicated course, including post-hemorrhagic ventricular dilatation and risk for severe long-term developmental deficits. The risk of unilateral spastic cerebral palsy is especially high when a hemorrhage goes along with a parenchymal hemorrhagic infarction. However, the occurrence and severity of cerebral palsy depend on the location and extent of the parenchymal hemorrhagic infarction. Both ultrasound and MRI can detect germinal-intraventricular hemorrhage, although MRI is better at detecting small hemorrhages in the temporal and occipital germinal matrix and associated (subtle) white matter injury. Timely detection of germinal-intraventricular hemorrhage and particularly possible complications allows for timely intervention, important for the prevention of (severe) long-term disabilities.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".