GridlockED as an Intervention for Nurses (GAAIN) Study
Bibliographic record
Abstract
BACKGROUND: GridlockED (The Game Crafter, LLC) is a serious game that was developed to teach challenges that face nursing and medical professionals in the emergency department (ED). However, few studies have explored nurses' perceptions of the utility, fidelity, acceptability, and applicability of the serious game modality. This study examined how ED nurses view GridlockED as a continuing education platform. METHOD: This single-center observational study explored how nurses engage with and respond to Grid-lockED. The convenience sample included participants recruited from a local continuing nursing education day. Participants completed a presurvey, engaged in a full game play session with the GridlockED game for approximately 45 minutes, and immediately completed a post-game play survey. RESULTS: Of the 48 participants (11 male, 37 female; 44 of 48 were RNs), most (91%) agreed that the workflow reflected in the game was equivalent to the flow in a typical ED. Almost all (96%) found the cases in the game reflective of real ED patients, and most (92%) found the game a useful educational tool to prepare new nurses to transition into the ED environment. CONCLUSION: .
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".