Predicting first lifetime plasma donation among whole blood donors
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to predict a first lifetime plasma donation among whole blood donors. STUDY DESIGN AND METHODS: A sample of 252 whole blood donors, who never donated plasma, completed the study questionnaire assessing intention, attitudes, subjective norm, and perceived behavioral control toward giving plasma. The dependent variables were intention to give plasma and first lifetime plasma donation within 6 months. RESULTS: At 6 months, 57 individuals had made 98 plasma donations. First lifetime plasma donation was predicted by intention (p < 0.05) and age (50+ years, p < 0.05). Intention was determined by attitudes (p < 0.001) and perceived behavioral control (p < 0.001). CONCLUSION: Promotional strategies to recruit new plasma donors should target individuals aged 50 years and more. Such strategies should be coupled with actions to lower the perceived barriers and highlight the perceived advantages of becoming a plasma donor.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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; both teacher heads agree on what is shown here.
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".