Exposición a contaminantes ambientales y patología respiratoria
Bibliographic record
Abstract
Target: After the appearance of 5 cases with respiratory symptoms in an aeronautical company and their exposal to different chemical substances, we proposed to investigate their possible link with the working environment. Material and methods: Aluminium environmental dust measurements, trichloroethylene and glycol, alergic study with these substances as well as with aero alergens and epicutaneos tests with a european standard accumulator were made, blood analysis, thorax x-rays, peak-flow measurements and functional respiratory tests, Methacholine test and electrocardiogram. Results: The peak-flow measurement and the direct bronchial hyperactivity test using metacholine were negative. The alergic tests performed were generally negative with the exception of 3 positive results concerning aero alergens test. Conclusions: The negative results of the peak-flow measurements and the metacholine test of an active worker, would practically disguard a cadre of work related asthma, at the present time. We cannot discard the concomitant possibility of a reactive disfunction syndrome via the aerial route in a precise moment of time previous to the study. In such case, the existence of an initial bronchial hyperreactivity could have yielded finally not being detectable with metacholine. The creation of multidisciplinary equipment is fundamental for the detection of respiratory diseases of possible work origin.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".