Bibliographic record
Abstract
Virtual reality has been proposed as a training regime for a large number of tasks from surgery rehearsal (cf. [Robb et al. 1996], to combat simulation (cf. [U. S. Congress, Office of Technology Assessment 1994]) to assiting in basic design (cf. [Fa et al. 1992]). Virtual reality provides a novel and effective training medium for applications in which training "in the real world" is dangerous or expensive. Here we describe the C2SM simulator system -- a virtual reality-based training system that provides an accurate simulation of the CBRNE Crime Scene Modeller System (see [Topol et al. 2008]). The training system provides a simulation of both the underlying robotic platform and the C2SM sensor suite, and allows training of the system to take place without physically deploying the robot or the simulation of chemical and radiological agents that might be present. This paper describes the basic structure of the C2SM simulator and the software components that were used to construct it.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".