Burn Disaster Planning and Simulation Event in Quebec, Canada
Bibliographic record
Abstract
subjects were analyzed with paired tests.The statistical level of significance was set at 0.05.Results: Pre-and post-intervention differences for the five sections of the TPQ, which consists of team structure, communication, leadership, situation monitoring, and mutual support were 3.1 to 4.2, 3.0 to 4.2, 3.3 to 4.3, 3.1 to 4.1, and 3.2 to 4.1, respectively.Pre-and post-intervention differences for the same five sections of the TPOT were 1.8 to 4.2, 1.4 to 3.9, 1.6 to 4.3, 1.3 to 3.6, and 1.4 to 3.8, respectively.All results were statistically significant.Conclusion: This table-top team training program positively affected perception toward teamwork and their ability to recognize the presence and quality of team skills in disaster events.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".