Adaptation to low levels of chemical exposure in individuals with multiple chemical sensitivity in a controlled indoor environment
Bibliographic record
Abstract
Environmental sensitivity or multiple chemical sensitivity (MCS) is a debilitating condition and increasingly prevalent in the recent years. MCS is a multisystem disorder with lack of standardized treatment strategies and clinical practice guidelines. Consequently, there are significant costs associated with disability and treating individuals with an increasing percentage of the population experiencing challenges in indoor environments from exposure to everyday chemicals such as personal care products. MCS remains a poorly understood condition with many challenges in establishing evidence to support the reactivity to the indoor environment experienced in individuals. This research attempts to validate the physiological reactivity and adaptation to everyday chemicals in a controlled environment in a sample of individuals ( n = 90) with MCS. Sixty percent of the female and 40% of the male subjects demonstrated confirmed physiological reactivity to the test substance. The results from this study indicate that the multifaceted nature of this condition possibly goes beyond the reactivity to chemicals in the environment. Further research is essential to understand the implications of hypersensitivity to help individuals optimally manage their health.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".