A Haptic Enabled DNA Model Sensing
Bibliographic record
Abstract
The science of haptics has received enormous attention in the last decade. One of the major application trends of haptics technology is data visualization and training. In this paper, we present our work towards developing a haptically enabled model for the structure of DNA. The graphic model of the DNA strand is made up of individual base pair models. The environment presents two views of the model: a global view that reflects the real stretching forces for a 5000 base pair strand and a 40 base pair portion of the strand to display the twisting of the molecules. The addition of the haptic model enables users to feel the stretching and twisting forces while manipulating the model through the PHANTOM® Desktop haptic device. Since the interaction forces are in the piconewton range, the forces applied by/to the user are scaled accordingly. The model can serve as a good instructional aid for helping users to understand the molecular structure of DNA through effective visual representation and interactive manipulation. In incorporating more physical details, it may also have a future use in simulating protein and enzyme interactions with DNA.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".