Plasma organochlorine concentrations in endurance athletes and obese individuals.
Bibliographic record
Abstract
PURPOSE: Organochlorines are lipophilic compounds that are ingested with food and that accumulate in adipose tissue. Their plasma concentrations were compared in three groups of individuals with different body fatness characteristics: endurance athletes, lean sedentary subjects, and obese individuals. METHODS: The relationship between body fat mass and total plasma organochlorine concentration adjusted for age was analyzed by pooling data of sedentary lean and obese subjects. The regression equation derived from this analysis was also used to predict residual scores of total organochlorine concentrations in trained individuals, which were compared to measured values in these subjects. RESULTS: Plasma organochlorine concentrations tended to be lower in athletes in comparison with values measured among lean sedentary individuals. Their concentrations were higher in obese individuals than in lean sedentary subjects and athletes. Total plasma organochlorine concentration was positively associated to body fat mass in the sedentary group (lean and obese combined, reference population). CONCLUSION: Large adipose tissue compartment such as observed in obese individuals is associated with increased levels of circulating organochlorines, whereas leaner sedentary and trained persons have a lower plasma concentration of these compounds.
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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".