Trauma Association of Canada 2009 Presidential Address: Trauma Ultrasound in Canada—Have We Lost a Generation?
Bibliographic record
Abstract
From the Departments of Surgery, Critical Care Medicine, and Regional Trauma Services; and The University of Calgary, Foothills Medical Centre, Calgary, Alberta, Canada. Submitted for publication April 7, 2009. Accepted for publication April 15, 2009. Presented at the Annual Scientific Meeting of the Trauma Association of Canada, March 5–7 2009, Auckland, New Zealand. A.W. Kirkpatrick is a Vice president of the Canadian Emergency Ultrasound Society; Module director of the Residents Ultrasound Course of the National Ultrasound Faculty of the American College of Surgeons; and a Committee Member of the World Interactive Network Focused on Critical Ultrasound. Address for reprints: Andrew W. Kirkpatrick, Department of Regional Trauma Services, Foothills Medical Centre, 1403 29 Street NW, Calgary, Alberta, Canada T2N 2T9; email: [email protected].
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.123 | 0.015 |
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".