A Multifunctional Online Research Portal for Facilitation of Simulation-Based Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Simulation-based research requires the coordinated effort of research teams to design projects, recruit subjects, and carry out performance assessments of individuals or teams. These efforts can often be labor intensive, time consuming, and logistically challenging, especially in the context of multicenter simulation-based research trials. METHODS: We have developed a multifunctional, internet-based research portal for facilitation of simulation-based research. This free portal, accessible from www.cesei.org, is capable of managing the research process by helping researchers to design their project, setup data collection using customized assessment tools, upload videos for performance assessment, and finally, download data-filled spreadsheets for statistical analysis. RESULTS: The research portal has been used successfully to manage the first major project of the EXPRESS research collaborative, a multicenter research study involving 15 recruitment sites and more than 400 subjects. CONCLUSIONS: The use of the research portal has enabled us to simplify and streamline the management of our multicenter research studies. We envision that this portal will permit novice and expert researchers alike to carry out their simulation-based research projects in a coordinated and time-efficient fashion, thus ultimately helping to enhance their overall research productivity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.033 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it