Bibliographic record
Abstract
The annual incidence of diagnosed venous thromboembolism (VTE) is 1 to 2 events per 1000 of the general population. VTE is very uncommon before age 20 years and, after 40 years of age, the incidence about doubles with each decade. Over half of episodes of VTE are deep vein thrombosis (DVT), and three quarters are first episodes. The incidence of VTE is similar in men and women and lower in Asians than it is in Caucasians or Africans. Hereditary risk factors include the factor V Leiden mutation; the G20210A prothrombin gene mutation; and deficiencies of protein C, protein S, and antithrombin. Hyperhomocysteinemia and elevated levels of factors I, VIII and XI, which may be hereditary and/or acquired, are also risk factors. Acquired risk factors include malignancy, hospitalization, surgery, venous trauma, immobilization, estrogen therapy, pregnancy, and the antiphospholipid antibodies. Risk factors for a first episode of VTE are generally also risk factors for recurrence, although the associated relative risk for thrombosis may differ for a first and subsequent event.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".