Peak Expiratory Flow Rate In Bidi Smokers Of Rural Area Near Metro City: Observational Study
Bibliographic record
Abstract
Smoking is a devastating habit than also millions of people continuing which we can consider global problem. Every country taking effort to make their population free from smoking by social media governmental and NON- Governmental agencies proving education related to ill effect of smoking than also people are counting there with habits’. India is the world second largest tobacco consuming country, despite of carrying out mass massive course of action for public health complemented with laws to restrict tobacco consumption. According to Global adult tobacco survey (GATS) in 2010,in this study we have taken PEFR as a outcome measure where Out of 4000 males 3782 were observed from which 200 smoker gave consent for evaluation. Smoker who gave consent were examined and assessment was done. The mean age of population was 48.63 years, on an average 21 biddies per day from 25-30 years duration of bidi smoking was noticed. Peak expiratory flow rate relatively decrease by 50 lit/min averagely. This study would be helpful to formulate anti tobacco strategies among aware population for dedication to make tobacco free India 2025.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".