Chronic whiplash-associated disorders in Lithuanian patients following motor vehicle collision: an update
Bibliographic record
Abstract
Background and Aims: In Lithuania, where amount of traffic accidennts is relatively high, WAD diagnosis is uncommon (1996). Our aim was to follow-up patients after motor vehicle accident in order to identify WAD symptoms as well as disability and to compare them with control group. Methods. Study enrolled 19 men and 30 women (mean age 30.2 ± 1.6 years) who searched for medical help at the Emergency Room after motor vehicle collision. Pain intensity according to Visual Analogy Scale (VAS) and WAD symptoms according to Quebec Task Force questionnaire were examined 3-14 days and 6 months following accident. 37 sex- and age- matched volunteers, with no previous history of a traffic accident, served as control. Disability Rate Index (DRI) and sociodemographic data was followed-up. [...].
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".