The Effect of CO Emissions on Lung Vital Capacity in Vehicle Inspectors at the Transportation Department in Slawi
Bibliographic record
Abstract
Abstract Carbon monoxide is a colorless and odorless gas that can cause various diseases, one of which is respiratory disease. The quantitative research method used a cross sectional approach and was analytic observational. Measurement of carbon monoxide at PKB Slawi building with an interval of 15 minutes obtained an average CO gas of 89.36 ppm. The analysis used was univariate and bivariate. Test used by Fisher’s Exact Test. Of the 20 workers, there were 12 workers who had lung function disorders,and 8 workers have normal lung. Tests obtained a p value of 0.005 <0.05, which means that it has a relationship between exposure to CO emissions and impaired lung function. Meanwhile, for the confounding variable, each variable was obtained for a P value> 0.05 with a significance level of 95% so that Ho was accepted, Ha was rejected which means that theres no relation between the various variable with lung function.
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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 | 0.000 |
| 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 | 0.001 | 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".