Bibliographic record
Abstract
Anticoagulation is the corner stone of therapy for venous thromboembolism. The optimal duration of this therapy depends on the balance between the risk of recurrent thrombosis if anticoagulants are stopped, and the risk of bleeding if patients remain on treatment. The risk of recurrence is low if thrombosis was precipitated by a major reversible risk factor such as surgery. Patients with idiopathic thrombosis (no apparent risk factor) and those with persistent risk factors (eg, cancer), have a high risk of recurrence. Some hereditary (eg, protein C, protein S or antithrombin deficiency; homozygous factor V Leiden) and acquired (eg, antiphospholipid antibodies) thrombophilic states are also risk factors for recurrence. Three months of anticoagulation is recommended when the risk of recurrence is low, whereas the duration of therapy should be extended to 6 months or longer when this risk is high, depending on the balance between the risk of recurrence and the risk of bleeding in each individual patient. Heparin preparations, at doses intermediate to those used for the acute treatment of venous thromboembolism and for primary prophylaxis, are an alternative to oral anticoagulants during the maintenance phase of treatment.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".