The between-day reliability of fasted circulating irisin concentrations: a cohort study
Bibliographic record
Abstract
Irisin blood concentrations are investigated in many applied physiology studies, however between-day reliability is required for accurate interpretation, particularly in longitudinal interventions. Between-day reliability of irisin was calculated, and the influence of participant characteristics explored. Venous blood was sampled 24 h apart in 32 rested and fasted healthy adults (males n = 15, 19–80 years). Plasma irisin concentrations were measured using MILLIPLEX® xMAP immunoassay analysis (Merck KGaA, Darmstadt, Germany). Irisin reliability was analysed using coefficient of variation (CV) and intraclass correlation coefficients (ICCs). Regression analysis was used to explore the influence of participant characteristics. Overall, irisin was reliable between days (CV 12.7%, ICC r = 0.963, p < 0.001), with no influence of participant characteristics, when pre-sampling controls (intake, activity) were applied.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".