Recurrent stroke: the role of thrombophilia in a large international pediatric stroke population
Bibliographic record
Abstract
<p>In the article pre-published online on January 24, 2019 and published in the paper version of Haematologica [volume 104(8):1676-1681; doi:10.3324/haematol2018.211433] we have to correct: • that recurrent stroke occurred in 160/872 (instead of 160 / 880) children [page 1678, second column, line 6]. • the incidence rates of recurrent AIS with respect to the individual exposure time in years given in the abstract (page 1676, lines 16-18) and in the results section (page 1679, paragraph "prothrombotic risk factors", lines 38-40). As explained in the methods section, we calculated the absolute risk of AIS recurrence as incidence rates per 100 patient-years (%). According to the individual exposure times (years) to antithrombin, lipoprotein (a) and the presence of more than one prothrombotic risk factor the incidence rates calculated per 100 patient-years are presented in the table below {table presented}.</p>
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 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) | 0.001 | 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 | 0.001 | 0.001 |
| 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 teacher head, 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".