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
CONTEXT: An overdose of oral anticoagulants represents a challenging scenario for emergency physicians. Dabigatran, an oral direct thrombin inhibitor, is increasingly used in place of warfarin. The lack of an antidote is a concern in patients who overdose on dabigatran, even though the drug can be eliminated with hemodialysis. Idarucizumab is an antibody fragment that binds dabigatran with high affinity. It reverses the anticoagulant effect of dabigatran within minutes and is approved for the reversal of dabigatran during emergency situations. CASE DETAILS: We describe the use of idarucizumab in the management of a 68-year-old woman who was taking dabigatran 150 mg twice daily and ingested 125 capsules. Despite gastric lavage and administration of activated charcoal within two hours of drug intake, the activated partial thromboplastin time (aPTT) and prothrombin time (PT) remained prolonged. The administration of 5 g of intravenous idarucizumab promptly and completely reversed the anticoagulant activity of dabigatran as assessed by routine and specific coagulation assays (aPTT from to 75 to 26 s, PT from 26 to 11 s and diluted thrombin time from 92 to 27 s). The initially planned emergency hemodialysis was canceled. DISCUSSION: This case highlights the potential use of idarucizumab for the management of massive dabigatran overdoses.
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 | 0.002 |
| 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) | 0.001 | 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 it