Deleterious effect of smoking on healing of open tibia-shaft fractures.
Bibliographic record
Abstract
We retrospectively reviewed a prospectively followed cohort of 105 patients with 110 open tibia fractures treated with external fixator or intramedullary nail to determine whether smoking affects fracture healing. Severe open tibia-shaft fractures treated at a tertiary-care medical center were included. Patients with type II, IIIA, or IIIB tibia fractures were eligible. Treatment for all patients was similar, except that they were randomized to receive external fixator or intramedullary nail. Time to fracture healing was the main outcome measurement. Smokers had a union rate of 84% (52/62), and nonsmokers had a union rate of 94% (45/48), P = .10. For smokers in one arm of the study, time to union was significantly longer (P = .01), and there were more complications (P = .04). Smoking decreased unions, slowed healing, and increased complications.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".