Are absorbent pads suitable alternatives for tattoo dressing?
Bibliographic record
Abstract
Background: Tattoo is a form of body modification that involves injecting ink underneath the epidermis using a needle. According to BC’s Guidelines for Personal Services Establishments this kind of invasive procedure will require wound dressing but the kind and sterility of the wound dressing has not been specified. During a tattoo convention an Environmental Health Officer (EHO) noticed that some tattoo artists were using absorbent pads for wound dressing. Absorbent pads are not sterile; therefore there is a concern of microbial infections at the tattoo wounds. This study examined the viability of using absorbent pads, which are non-sterile, as tattoo wound dressings. Method: 3M Quick Swabs were used to swab absorbent pads to collect the microorganisms present on the surface. 3M Petrifilm E. coli/Coliform Count Plates were used to culture E. coli and Coliform which could be present on the SanidermTM sterile tattoo dressing and absorbent pads. The presence of E. coli colonies on the petrifilm would show up as blue dots, while coliform colonies would be red dots. The total colony forming units (CFU), which include both E. coli and coliform colonies, were counted to assess the general sanitation conditions of both types of dressing. Results: Zero CFU were found from sampling the SanidermTM dressings and absorbent pads purchased from tattoo supply shops within Metro Vancouver. Conclusions: In the field of Environmental Health, coliform is often used as an indicator for the degree of sanitary quality; while E. coli is used as an indicator for fecal contamination. Therefore, the results of this study, indicated that the absorbent pads have high degree sanitation and are free from fecal contamination.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".