Intracranial Artery Stenosis in Young Men Related to Habitual Periodic Cigarette Smoking in a Closed Space: Could It Be a New Syndrome?
Bibliographic record
Abstract
Cerebrovascular disease (stroke) is decreasing in tendency and is the 4th leading cause of death in 2020 in Korea, after cancer, cardiac disease, and pneumonia, which are all increasing in tendency. 1Racial differences between Asians and Caucasians have been suggested to explain the distribution of cerebral atherosclerosis. 2 Angiographic and autopsy studies in stroke patients have shown that Asians tend to have more intracranial vascular occlusions, whereas whites tend to have more extracranial lesions.This difference tends to be more definite and statistically significant when a single severe stenosis is present. 2igarette smoking (CS) is a major risk factor for cerebral atherosclerotic disease.Intracranial atherosclerotic stenosis is thought to be more prevalent among young smokers with angiographically-confirmed symptomatic severe atherosclerotic stenosis. 3The overall smoking rate in Korea was 20.6% in 2020 and has continuously decreased in tendency year by year. 4Males showed a much higher rate of 34.0% than females (6.6%) in 2020.Younger males with 19-49 years of age showed a higher smoking rate, revealing that the forties showed the highest smoking rate, and then a decreasing tendency in even older males.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".