P3.4: From flop to top, the growth of one Canadian OPO over 10 years using hospital based coordinators
Bibliographic record
Abstract
Historically in British Columbia (BC), the donors per million (DPM) had been very low, 7.2 in 2009. Nationally, there remains a shortage of available suitable organs for transplantation. While the goal was to provide competent, culturally sensitive care for the donor; a loftier intent was to be able to increase the DPM for BC. In acheiving this, the ability to facilitate a larger number of transplants, and ultimately, make an impact on the waitlist. BC implemented an In Hospital Organ Donation Coordinator (IHC) in 3 of 5 health authorities in 2012. The IHC is present to facilitate and assist each HA with the education and resources for organ donation. These positions were expanded to include all BC HA’s by 2015. The current DPM in BC for 2022 was 29.89 and the highest in Canada. The addition of IHC’s had a significant impact on the culture of donation, expansion of policy, and number of available, suitable organs for transplantation.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.058 | 0.006 |
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".