The specification of color limits in eye protection lenses for use when color‐contingent clinical observations are made
Bibliographic record
Abstract
Abstract Objective To investigate if color limitations in eye and face protection standards are sufficient to avoid interfering significantly in color‐contingent clinical decisions. If not, to propose what requirement will ensure appropriate products. Methods Yellow‐tinted eye protectors, blue‐blocking lenses and lightly tinted filters were assessed for compliance with eye and face protection standards and their effect on the color rendering. Results Yellow‐tinted eye protectors and many tinted filters cause significant noncompliance with hospital lighting recommendations and standards; however general eye protection standards do not exclude these lenses. The standard for eye protection against intense light sources, in cosmetic and medical applications (ISO 12609‐1), does exclude lenses identified as affecting clinical color‐related decisions significantly. Conclusions Any recommendation or standard for eye and face protection for persons making color‐ contingent clinical decisions must include the requirement of ISO 12909‐1. Persons making color‐contingent clinical decisions should be advised to use only untinted or neutral‐colored lenses. Clinical Significance This research is intended to advise writers of standards and recommendations on eye and face protection for use where color‐contingent clinical decisions are made to ensure that the protector does not interfere with these decisions. It is also intended to advise on the selection of tints in their eye protection.
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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 | 0.023 | 0.077 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".