Decrements Encountered when Wearing Hazardous Materials Gloves
Bibliographic record
Abstract
Hazardous materials gloves (HAZMAT) are frequently worn when performing clinical technical skills, but it is unclear how sensory and motor performance is affected in these circumstances.In Experiment 1, two timed standardized manual dexterity tests, and a test of sensory function were administered.Glove use resulted in a decreased ability to manipulate small objects and a decreased sensitivity to light touch.However, the ability to manipulate objects with a tool was unaffected by the glove.In Experiment 2, the objects were instrumented with a force/torque sensor and the coefficient of friction between the digits and the object was estimated.An elevation of grasping forces and an increased slipperiness between the digits and the object were observed.In Experiment 3, fingertip placement was quantified with pressure sensitive sheets and revealed a misalignment of the digits.Collectively these results suggest that impairments to motor performance when wearing a glove might be related to misalignment of the digits, associated with sensory decrement.These results can be used in the formulation of protocols for professionals wearing HAZMAT gloves and in the design of tools and HAZ-MAT garments.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".