Validation of a Blood Stability Score as an easy‐to‐use blood sample quality index
Bibliographic record
Abstract
INTRODUCTION: The athlete biological passport (ABP) was implemented based on conservative requirements on sample storage and transport to ensure blood integrity. Blood remains stable over periods longer than the currently employed time limits. We investigated whether time and temperature requirements for sample storage can be used in a flexible model rather than based on fixed limits. METHODS: A literature review was performed analyzing the stability blood variables. A Blood Stability Score (BSS) was derived to integrate the direct dependence of the degradation rate on temperature. A validation study was then carried out in real testing conditions with antidoping blood samples. Upon sample reception, a full blood count was obtained, and then again after refrigeration for an extended period. RESULTS: A BSS formula integrating storage temperature (T) and collection to analysis time (CAT) was developed: BSS = CAT + 3 × T. In real testing conditions, negligible differences were observed for some variable as BSS values approached a score of 95, while no difference was observed in HGB and RET%. CONCLUSION: This study confirms that samples can be transported for longer periods and that the adaptive time and temperature approach as formalized in a rule that the BSS should not exceed 85 guarantees the stability of RBC variables used in the ABP.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".