Burden of Illness in ThromboEmbolism in Critical Care (BITEC) study: a multicenter Canadian study
Bibliographic record
Abstract
Medical–surgical critically ill patients are at risk of venous thromboembolism (VTE) during their stay in the intensive care unit (ICU). The rates of deep vein thrombosis (DVT) detected by screening ultrasonography (10%), and DVT and pulmonary embolism (PE) identified at autopsy (20%), suggest that many VTE events are clinically undetected. The burden of illness associated with VTE (DVT and/or PE) diagnosed during critical illness is unclear. The primary objective of this study was to estimate the prevalence and incidence of diagnostically confirmed DVT and PE in medical–surgical ICU patients. The secondary objective was to examine VTE prophylaxis longitudinally, estimating the proportion of VTE events associated with prophylaxis failure versus failure to implement prophylaxis. The tertiary objective was to estimate the morbidity and mortality outcomes of patients with VTE.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".